Item recommendation method and device based on agent interaction, equipment and medium

Abstract

The present disclosure provides an item recommendation method based on agent interaction, which is applied to the technical fields of artificial intelligence, internet medical treatment and human-computer interaction. The method comprises the following steps: displaying an interaction page about a target item; determining situation information of a target object currently in based on at least interaction content in a process in which the target object interacts with an agent based on the interaction page; and displaying an item recommendation scheme matched with the situation information on the interaction page, wherein the item recommendation scheme comprises recommendation item information, and the recommendation item information comprises the target item and a collocation item of the target item, so as to solve the situation that the target object is currently in. The present disclosure provides an item recommendation device based on agent interaction, an electronic device, a storage medium and a program product.

Description

Technical Field

[0001] This disclosure relates to the fields of artificial intelligence, e-commerce and healthcare technologies, and more specifically, to a method, apparatus, electronic device, storage medium and program product for recommending items based on intelligent agent interaction. Background Technology

[0002] With the rapid development of Large Language Model (LLM) technology, LLM-based agents have been widely applied in various fields, providing users with high-quality question-answering support and personalized recommendation services. For example, in healthcare scenarios, such agents can respond to users' needs in areas such as health knowledge dissemination, drug information retrieval, and medication advice.

[0003] In the process of realizing the concept disclosed herein, it was found that the relevant technologies have at least the following problems: When facing user inquiries, the current AI agents often limit their answers to direct responses to user questions, resulting in a relatively simple structure and insufficient flexibility in the provided content, making it difficult to meet the needs of users in actual use. Summary of the Invention

[0004] In view of this, the present disclosure provides a method, apparatus, electronic device, storage medium, and program product for recommending items based on intelligent agent interaction.

[0005] One aspect of this disclosure provides a method for recommending items based on agent interaction, comprising: displaying an interactive page about a target item; determining, at least based on the interaction content, the current situation information of the target item during the interaction between the target item and the agent based on the interactive page; and displaying an item recommendation scheme matching the situation information on the interactive page, wherein the item recommendation scheme recommends item information, the recommended item information including the target item and items that can be used in conjunction with the target item to resolve the current situation of the target item.

[0006] According to embodiments of this disclosure, the above method further includes:

[0007] Based on the above situational information, target historical evaluation information that matches the current situation is determined from multiple historical evaluation information for the target item.

[0008] The interactive page displays an evaluation card containing historical evaluation information for the aforementioned target.

[0009] According to embodiments of this disclosure, the aforementioned historical evaluation information of the target includes the evaluation subject and the evaluation content;

[0010] The aforementioned evaluation card includes a main information area and an evaluation content area. The main information area is used to display the main identifier and main level of the evaluation subject, and the evaluation content area is used to display a summary of the evaluation content.

[0011] According to embodiments of this disclosure, the above method further includes:

[0012] In response to the trigger operation for the aforementioned rating card, the user is redirected to the rating details interface for the aforementioned rating card. The rating details interface includes the user's ID and user level, as well as the complete rating content.

[0013] According to embodiments of this disclosure, the above method further includes:

[0014] The interactive page displays item recommendation cards that match the item recommendation scheme. The item recommendation cards include an item sub-area for displaying at least one recommended item included in the item recommendation scheme. The item sub-area includes a brief description of the item and a delivery method identifier, which indicates whether it is instant delivery or logistics delivery.

[0015] According to embodiments of this disclosure, the above method further includes:

[0016] Based on the urgency of the current situation determined by the aforementioned situational information, the attributes of the aforementioned recommended items, and the location information of the aforementioned target object, the delivery method for the aforementioned recommended items is determined.

[0017] Based on the delivery methods of the recommended items mentioned above, determine the items to be displayed from the item library that are compatible with the delivery methods mentioned above;

[0018] Based on the items to be displayed, generate an item recommendation card that includes a brief description of the items and the delivery method identifier.

[0019] According to embodiments of this disclosure, when the above-mentioned item delivery method is instant delivery, the above-mentioned item sub-area also includes estimated delivery time information.

[0020] According to embodiments of this disclosure, the aforementioned item recommendation card further includes a transaction operation entry point, which includes at least one of the following: an "Instant Purchase" entry point and an "Add to Cart" entry point.

[0021] According to embodiments of this disclosure, the above-mentioned item recommendation scheme includes recommended item information from multiple dimensions;

[0022] The item recommendations displayed on the aforementioned interactive page that match the aforementioned situational information include:

[0023] The interactive page displays a solution card containing the above-mentioned item recommendation schemes. The solution card includes sub-areas corresponding to the above-mentioned multiple dimensions, and the sub-areas include dimension labels and recommended item information.

[0024] According to embodiments of this disclosure, the aforementioned sub-region also includes an item transaction entry corresponding to the recommended item name in the aforementioned recommended item information;

[0025] The above methods also include:

[0026] In response to the trigger operation for the above-mentioned item transaction entry, the user is redirected to the item transaction interface corresponding to the recommended item name associated with the above-mentioned item transaction entry. The item transaction interface includes multiple item display areas that match the above-mentioned recommended item names. The item display areas include a brief description of the item and a delivery method identifier, which indicates whether the item is delivered immediately or via logistics.

[0027] According to embodiments of this disclosure, the above method further includes:

[0028] Retrieve reference information that matches the above situation information from a preset knowledge base, wherein the reference information contains knowledge content in multiple dimensions;

[0029] Based on the knowledge content from the above multiple dimensions, the recommended item information for each of these dimensions is determined.

[0030] Another aspect of this disclosure provides an item recommendation device based on intelligent agent interaction, comprising:

[0031] The first display module is used to show interactive pages about the target item;

[0032] The first determining module is used to determine, at least based on the interaction content, the current situation information of the target object during the interaction between the target object and the intelligent agent based on the aforementioned interactive page; and

[0033] The second display module is used to display item recommendation schemes that match the situation information on the interactive page. The item recommendation schemes include recommended item information, which includes the target item and items that can be used in combination with the target item to solve the current situation of the target object.

[0034] Another aspect of this disclosure provides an electronic device comprising:

[0035] One or more processors;

[0036] Memory, used to store one or more programs.

[0037] When the above one or more programs are executed by the above one or more processors, the above one or more processors implement the above method.

[0038] Another aspect of this disclosure provides a computer-readable storage medium storing computer-executable instructions, which, when executed, are used to implement the method described above.

[0039] Another aspect of this disclosure provides a computer program product including computer-executable instructions that, when executed, implement the method described above.

[0040] According to embodiments of this disclosure, a technical solution is adopted that starts with a user's inquiry about a target item, collects the user's current situation information through multiple rounds of interaction, and then generates a professional matching solution that matches the user's needs based on the current situation information and displays it on the interactive interface. This solution addresses the problem of the simple structure and lack of flexibility in the answers in related examples, and realizes the accurate push of suitable item recommendation solutions based on the user's actual situation. This helps to improve the accuracy, professionalism and user experience of decision support in item inquiry scenarios. Attached Figure Description

[0041] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0042] Figure 1 An exemplary system architecture for applying an agent-based item recommendation method according to embodiments of this disclosure is illustrated.

[0043] Figure 2 A flowchart illustrating an item recommendation method based on agent interaction according to an embodiment of the present disclosure is shown schematically.

[0044] Figure 3 An interactive page diagram according to an embodiment of the present disclosure is illustrated schematically;

[0045] Figure 4 A schematic diagram of a scheme card according to an embodiment of the present disclosure is shown;

[0046] Figure 5 A schematic diagram of an item trading interface according to an embodiment of the present disclosure is shown;

[0047] Figure 6A and Figure 6B A schematic diagram of an item recommendation card according to an embodiment of the present disclosure is shown;

[0048] Figure 7 A schematic diagram of an evaluation card according to an embodiment of the present disclosure is shown;

[0049] Figure 8 A schematic diagram of an evaluation details interface according to an embodiment of the present disclosure is shown;

[0050] Figure 9 A schematic diagram illustrating an interaction method according to an embodiment of the present disclosure is shown.

[0051] Figure 10 A block diagram of an item recommendation device based on agent-based interaction according to an embodiment of the present disclosure is illustrated schematically; and

[0052] Figure 11 A block diagram of an electronic device suitable for implementing the methods described above, according to embodiments of the present disclosure, is illustrated schematically. Detailed Implementation

[0053] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0054] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0055] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0056] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0057] In the embodiments disclosed herein, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of data (e.g., including but not limited to user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and to safeguard user personal information security and network security.

[0058] In the embodiments disclosed herein, user authorization or consent is obtained before acquiring or collecting user personal information.

[0059] With the rapid development of large language model technology, LLM-based agents can now provide various forms of question-answering and recommendation services. Taking the healthcare field as an example, such agents can support functions such as health knowledge dissemination, drug information retrieval, and personalized medication advice. However, currently, most agents, when handling scenarios such as user medication inquiries, still generally adopt a single-turn response model of "ask what, answer what," resulting in relatively simple and inflexible responses lacking systematicity.

[0060] For example, when a user asks, "How do I use this fever-reducing patch?", the current AI agent typically only replies with the usage instructions for that item. This approach has the following limitations: First, users cannot easily determine whether the fever-reducing patch is truly effective or suitable for their specific situation. Second, simply providing the usage instructions for a single item may overlook the necessary complementary care plans (such as whether medication, physical cooling, and other comprehensive measures are needed), resulting in incomplete advice, a poor user experience, and even affecting the actual effectiveness of the product.

[0061] Based on this, embodiments of this disclosure provide a method for recommending items based on intelligent agent interaction, including: displaying an interactive page about a target item; determining the current situation information of the target item based at least on the interaction content during the interaction between the target item and the intelligent agent based on the interactive page; and displaying an item recommendation scheme matching the situation information on the interactive page, wherein the item recommendation scheme includes recommended item information, which includes the target item and items that can be used in conjunction with the target item to resolve the current situation of the target item.

[0062] Figure 1 An exemplary system architecture 100, according to embodiments of the present disclosure, to which an agent-based item recommendation method can be applied, is illustrated. It should be noted that... Figure 1 The examples shown are merely examples of system architectures that can be applied to the embodiments of this disclosure, in order to help those skilled in the art understand the technical content of this disclosure, but do not mean that the embodiments of this disclosure cannot be used in other devices, systems, environments or scenarios.

[0063] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the interaction platform 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0064] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the interactive platform 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social media platform software, etc. (for example only).

[0065] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, laptops, and desktop computers.

[0066] The interactive platform 105 can support a service platform for item consultation. The interactive platform 105 can be configured with at least one intelligent agent (e.g., agent 1, agent 2, ..., agent n). Each intelligent agent is used to handle different types of item consultation requests, thereby achieving professional division of labor and accurate response. Users can log in to the interactive platform 105 using the first terminal device 101, the second terminal device 102, and the third terminal device 103, and initiate consultations about items on the interactive platform 105. The intelligent agents configured on the interactive platform 105 will automatically identify the consultation content, interact with the user to determine the user's current situation, and generate response content and item recommendation solutions based on the user's current situation.

[0067] It should be noted that the item recommendation method based on intelligent agent interaction provided in this disclosure embodiment can generally be executed by the interaction platform 105. Accordingly, the item recommendation device based on intelligent agent interaction provided in this disclosure embodiment can generally be set in the interaction platform 105.

[0068] It should be understood that Figure 1 The number of terminal devices, networks, and interaction platforms shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and interaction platforms can be included.

[0069] According to embodiments of this disclosure, the item recommendation method based on agent interaction can be applied to an item interaction platform, which can be configured with at least one agent.

[0070] This disclosure does not limit the configuration method of the intelligent agent. In one example, the intelligent agent can be configured as follows: log in to the item interaction platform, create an intelligent agent number, and then define the basic attributes of the intelligent agent, such as assigning it a professional role (e.g., "AI pharmacist", "AI nutritionist", "AI pet doctor", etc.), establishing a language style, configuring a response strategy, and limiting its response range, so that the intelligent agent's dialogue behavior is more in line with the user's scenario expectations.

[0071] Figure 2 A flowchart illustrating an item recommendation method based on agent interaction according to an embodiment of the present disclosure is shown.

[0072] According to embodiments of this disclosure, the implemented interaction method can be applied to an interaction platform. This interaction platform can be configured with at least one agent (e.g., agent 1, agent 2... agent n), each agent handling different types of item consultation requests. For example, the interaction platform can be an item trading platform, where an agent identifier for the corresponding item can be displayed below each item's display page. Users can click on the agent identifier to enter an interaction interface with the agent. For instance, a robot icon labeled "AI Nutritionist" or a "Consult AI Advisor" button can be placed next to the item image.

[0073] Based on this, such as Figure 2 As shown, the item recommendation method 200 based on intelligent agent interaction in this embodiment includes operations S210 to S230.

[0074] When operating S210, an interactive page about the target item is displayed.

[0075] The target item is the specific product or service that the user is currently inquiring about, and it can be any item on the item trading platform.

[0076] An interactive page can be an interface (such as a webpage, application interface, or pop-up) displayed after a user clicks on the agent icon below the target item, allowing the user to exchange information with the agent. This interactive page can not only display information but also provide interactive elements such as buttons, input boxes, and links.

[0077] For example, the interactive page can be a chat window where users can converse with the intelligent agent. For instance, after a user clicks on the "AI Nutritionist" icon below an item, a chat box pops up on the page, where the user can communicate with the "AI Nutritionist" by entering text or voice.

[0078] Figure 3 A schematic diagram of an interactive page according to an embodiment of the present disclosure is shown.

[0079] like Figure 3 As shown, users can click the "AI" intelligent agent icon below "Fever-Reducing Patch" to enter a chat window 300 to interact with the intelligent agent "Xiaowei Doctor". Users can ask questions in this chat window. For example, a user might ask, "Can I use this fever-reducing patch if my child has a low-grade fever in the middle of the night?" The intelligent agent "Xiaowei Doctor" replies, "Yes, you can use this fever-reducing patch if your child has a low-grade fever in the middle of the night. This fever-reducing patch is suitable for babies over 3 months old and can help with physical cooling and relieve fever discomfort."

[0080] During operation S220, when the target object interacts with the agent based on the aforementioned interactive page, the current situation information of the target object is determined at least based on the interaction content.

[0081] The target object refers to the user who is using the interaction platform and interacting with the intelligent agent, that is, the service object of the intelligent agent.

[0082] Interaction content includes all dialogue information exchanged between the target object and the agent on the interaction page, such as questions and statements entered by the user, responses given by the agent, follow-up questions initiated by the agent, and further responses from the user to the follow-up questions.

[0083] The intelligent agent can proactively ask further questions based on the user's initial inquiry to gather more complete information and thus more accurately identify the user's current situation. For example, Figure 3 As shown, after responding to a user's inquiry about fever-reducing patches, the AI ​​agent proactively asks, "Does your baby currently have any other symptoms such as coughing or runny nose?" The user answers "No." The AI ​​agent can then continue by asking, "That's good; no symptoms indicate a mild condition. Has your child recently been exposed to a cold, received vaccinations, or been in contact with people who have colds?" The user again replies "No." Through these multiple rounds of dialogue, the AI ​​agent gradually collects key information related to the user's situation, providing a basis for generating suitable product recommendations.

[0084] Contextual information refers to the user's current state, problems, real needs, or specific scenarios extracted through analysis of interactive content. It goes beyond just addressing a single question raised by the user, providing a more comprehensive reflection of the user's deeper background and actual needs.

[0085] For example, regarding the above consultation example about fever-reducing patches, the extracted situational information could be: "A parent is seeking a safe and convenient physical cooling method for their child who has a low-grade fever at night, and wants to know about suitable fever-reducing products for infants and young children, along with accompanying care advice, while ruling out other common causes to assess the urgency of the situation." This situational information integrates the user's identity (parent), scenario (nighttime, child's low-grade fever), core need (safe and effective physical cooling), and implicit anxiety (concern about the cause and severity of the symptoms), providing a clear contextual basis for subsequent product and solution recommendations.

[0086] It should be noted that the goal of the intelligent agent's dialogue with the user is to efficiently and accurately collect necessary information, thereby precisely identifying the user's situation and needs. The number of dialogue rounds is not fixed and can be preset according to actual interaction needs, or dynamically adjusted based on the following factors:

[0087] Information integrity requirements: The agent will create a corresponding "information checklist" based on the type of inquiry. For example, for medical and health products, more comprehensive information is often needed. The conversation will only continue if key information is not fully obtained. Taking fever-reducing patch consultation as an example, the agent typically needs to clarify basic information such as "user's age," "fever level," and "whether there are other accompanying symptoms."

[0088] User interaction signals: The intelligent system analyzes the user's answers and expression in real time. Short, passive replies (such as "no" or "it's okay") may indicate that the information is incomplete and requires further questioning; while information that the user actively adds (such as "but he kept saying his stomach hurts") may guide the conversation in a new direction of exploration, or end the current questioning phase early when enough information has been obtained.

[0089] Urgency of the problem: For high-urgency problems (such as "What medication should I take for a severe allergy?"), the AI ​​will simplify non-core questions, quickly focus on key information (such as allergens and specific symptoms), and suggest that the user seek medical attention when appropriate. Conversely, for low-urgency problems (such as "Which vitamins can I take daily?"), a deeper, more round-robin conversation can be initiated to gradually understand the user's lifestyle habits, dietary structure, and other background information.

[0090] Historical experience data: Based on big data analysis of past dialogues, the intelligent agent can gradually form an understanding of "common consultation paths" and "key decision factors" for various types of questions, thereby optimizing the questioning order, prioritizing the information that best distinguishes user types or needs, reducing unnecessary rounds, and improving interaction efficiency.

[0091] In operation S230, the above-mentioned interactive page displays a recommended item scheme that matches the above-mentioned situation information. The recommended item scheme includes recommended item information, which includes the target item and items that can be used in combination with the target item to solve the current situation of the target object.

[0092] In some embodiments, the item recommendation scheme described above may include recommended item information across multiple dimensions. For example, the target item and items used in conjunction with the target item may belong to different dimensions.

[0093] The item recommendation scheme is a systematic and structured combination of item recommendations and guidance suggestions generated by the intelligent agent based on situational information, aiming to comprehensively respond to the user's actual needs.

[0094] Dimensions are strategic classifications of the problems that recommended items solve, clarifying the role each category of items plays in addressing the user's situation, thus making the overall recommendations more organized and persuasive. For example, in the example of counseling for infants with low-grade fever at night, intervention types could include four aspects: physical cooling, oral medication, immunity enhancement, and monitoring and care.

[0095] For example, in the above example of consultation regarding low-grade fever at night in infants and young children, the agent can combine the identified situational information to generate the following recommended item information containing different dimensions:

[0096] Physical cooling method: It is recommended to continue using medical fever-reducing patches for 4-5 hours each time, no more than twice a day, and to use them in conjunction with auxiliary methods such as wiping with warm water.

[0097] Drug synergy: If the body temperature remains above 38.5℃, ibuprofen suspension can be used in conjunction with physical cooling (dosage should be calculated based on body weight, and should not exceed 3 times per day).

[0098] Immune support: It is recommended to use vitamin C effervescent tablets during this period, one tablet daily, to help boost immunity and promote recovery.

[0099] Monitoring and nursing care: It is recommended to equip the room with an electronic thermometer to monitor body temperature regularly, and to maintain indoor ventilation and provide adequate hydration, among other nursing care measures.

[0100] By organizing the recommended content according to the above dimensions, users can clearly understand that the solution is a progressive and coordinated approach that combines multiple strategies, including "immediate physical cooling, medication when necessary, immune system support, and systemic monitoring and care." This approach not only answers questions about the use of the product but also provides a complete, reliable, and actionable solution to the user's situation, thereby improving the user experience.

[0101] According to embodiments of this disclosure, a technical solution is adopted that starts with a user's inquiry about a target item, collects the user's current situation information through multiple rounds of interaction, and then generates a professional matching solution that matches the user's needs based on the current situation information and displays it on the interactive interface. This solution addresses the problem of the simple structure and lack of flexibility in the answers in related examples, and realizes the accurate push of suitable item recommendation solutions based on the user's actual situation. This helps to improve the accuracy, professionalism and user experience of decision support in item inquiry scenarios.

[0102] In this disclosure, the target item and items used in combination with the target item can be collectively referred to as recommended items. That is, the recommended items mentioned below can include at least one of the target item and items used in combination with the target item. In some embodiments, the item recommendation scheme can be directly displayed in text form on the interactive interface. Specifically, the item recommendation scheme is displayed directly in the dialogue flow or a designated area of ​​the interface as paragraph-style or list-style text. Its form is direct, has strong contextual coherence, and is suitable for scenarios with less information or that need to be closely connected with the dialogue content. For example, the agent directly writes in the reply: "For the baby's low-grade fever, it is recommended: 1) Use fever-reducing patches for physical cooling first, 1-2 times a day; 2) If the body temperature exceeds 38.5℃, ibuprofen suspension can be used in conjunction; 3) During the recovery period, vitamin C effervescent tablets can be supplemented daily to enhance immunity."

[0103] In other embodiments, the item recommendation scheme can also be displayed on the interactive interface in the form of a scheme card. This scheme card can include multiple sub-areas corresponding to different dimensions, each sub-area containing dimension labels and recommended item information.

[0104] A solution card is a standalone visual component that integrates and visualizes complete item recommendation solutions. Typically, this card features clear category titles, auxiliary icons, item information descriptions, and actionable buttons. The card-style design creates a clear information hierarchy and highlights visual focal points, allowing users to quickly grasp the core content and perform subsequent actions.

[0105] Sub-regions refer to independent sections within a solution card, divided according to different dimensions. Each sub-region displays all information related to that dimension. For example, if a product recommendation solution includes two dimensions: "physical cooling" and "oral medication," then the title and text "Physical cooling: In cases of low-grade fever, consider using medical fever-reducing patches first..." would constitute one sub-region. "Oral medication: If body temperature remains above 38 degrees Celsius..." would constitute another sub-region.

[0106] Dimension labels are titles or tags located in each sub-section to clearly identify the corresponding dimension of that sub-section. They are usually emphasized through bolding, highlighting, or special formatting. For example, "Physical cooling:", "Oral medication:", and "Immunity enhancement:" at the beginning of each sub-section are dimension labels. They function similarly to category subheadings, clearly guiding users to understand the category to which subsequent content belongs.

[0107] According to embodiments of this disclosure, by displaying solution cards containing sub-regions corresponding to multiple dimensions on the interactive page, and each sub-region containing dimension labels and recommended item information, the presentation of item recommendation solutions becomes more organized and visually appealing, making it easier for users to intuitively obtain recommended item information from different dimensions, thereby improving the clarity of item recommendations and user selection efficiency.

[0108] Recommended item information refers to all descriptive and instructive content related to items recommended by the agent to the user. It includes not only the item name, but more importantly, detailed guidance on how to use the item correctly, safely, and effectively to achieve the intended goal. Its fundamental objective is to transform recommendations into actionable and reliable concrete action plans, thereby lowering the user's barrier to entry and reducing decision-making concerns.

[0109] For example, the recommended item information may include at least one of the following: the name of the recommended item, or instructions for using the recommended item.

[0110] The recommended item name is the specific name of the recommended item, used to uniquely identify the item. Examples include: medical fever-reducing patches, ibuprofen suspension (children's size), and vitamin C effervescent tablets.

[0111] User guides provide detailed instructions on how to operate and use the item. This information is crucial to ensuring the recommendations are practical and safe, especially for items in categories such as health, medicine, and electrical appliances.

[0112] For example, the usage guidance information may include at least one of the following: usage method, usage frequency, single dosage, usage duration, and combination usage suggestions.

[0113] Method of use refers to the way an item is applied or handled. For example, applying it to the forehead or temples, taking it with warm water, or chewing it.

[0114] Usage frequency refers to the recommended number of times to use the product within a given time period (usually one day). For example, 1-2 times per day, once every 6 hours, and no more than 4 times in 24 hours.

[0115] Single dose refers to the specific quantity or dosage used each time. For example, 1 patch per use, 10 ml per use (please check the dosage table according to your weight), or 1 tablet per use.

[0116] Usage duration refers to the recommended continuous use time or the longest single use time. For example, each use should last 4-5 hours, it is recommended to take it continuously for 3-5 days, and it can be used for long-term daily supplementation.

[0117] The combination use recommendations refer to the guidance on using this item in conjunction with other items (or non-item behaviors), reflecting the systematic and synergistic nature of the solution. For example, when using it in conjunction with ibuprofen suspension, please wait at least 4 hours; while using fever-reducing patches, it is recommended to drink plenty of warm water.

[0118] This embodiment of the disclosure explicitly includes the name of the recommended item and usage guidance information (including key content such as usage method, frequency, and dosage) in the recommended item information, enabling the target audience to intuitively obtain the core information and usage specifications of the item. This not only improves the transparency and practicality of item recommendations, but also provides users with a clear understanding of the item and a basis for correct use, thereby assisting users in making purchase decisions quickly and accurately.

[0119] Figure 4 A schematic diagram of a scheme card according to an embodiment of the present disclosure is shown.

[0120] like Figure 4 As shown in the example, this embodiment uses a consultation scenario regarding fever-reducing patches as an example, demonstrating a solution card 400 containing recommended solutions. This solution card includes a title area 410 and three sub-areas corresponding to different dimensions: a sub-area 420 for "physical cooling" intervention, a sub-area 430 for "oral medication" intervention, and a sub-area 440 for "immunity enhancement" intervention. Each sub-area contains its corresponding dimension label and relevant recommended item information. Specifically, sub-area 420 includes the dimension tag "physical cooling" and corresponding recommended items: "For low-grade fever, first consider using medical fever-reducing patches to lower the child's temperature. Use for 4-5 hours each time, 1-2 times a day. Observe whether the fever subsides within 1 day." Sub-area 430 includes the dimension tag "oral medication" and corresponding recommended items: "If the body temperature remains or exceeds 38 degrees Celsius, in addition to continuing to use fever-reducing patches, ibuprofen suspension can also be used. Take 50ml three times a day." Sub-area 440 includes the dimension tag "immunity enhancement" and corresponding recommended items: "Respiratory infections are often related to low immunity. It is recommended to take vitamin C effervescent tablets while lowering the temperature. Take one tablet daily to help restore immunity more quickly."

[0121] According to embodiments of this disclosure, the aforementioned sub-region further includes an item transaction entry corresponding to the recommended item name in the recommended item information. Based on this, the method further includes: in response to a trigger operation on the aforementioned item transaction entry, redirecting to an item transaction interface whose recommended item name matches the item transaction entry.

[0122] The item trading entry is an interactive element (such as a button, link, or icon) embedded in the user guide information. The item trading entry can be visually distinguished from other text content in the user guide. For example, the item trading entry can be a hyperlink, use a different color than regular text, be underlined, or be a button.

[0123] For example, the item name or key phrase in the guidance information can be configured as a clickable hyperlink, which, when clicked, directly redirects to the item's purchase page. For instance, in... Figure 4 In the solution card shown, each sub-area (such as the "Physical Cooling" sub-area 420) displays the item name "Medical Fever-Reducing Patch" as a clickable hyperlink, which directly redirects to the purchase page of the item when clicked.

[0124] For example, in each sub-area (such as the "Physical Cooling" sub-area 420), after displaying the item name "Medical Fever-Reducing Patch" and the usage instructions "Use for 4-5 hours each time, 1-2 times a day", a "Buy Now" or "Add to Cart" button can be attached, which serves as the entry point for the item transaction.

[0125] The item trading interface may include an item list page, an item details page, a shopping cart page, an order confirmation page, and a payment page.

[0126] For example, the above-mentioned item transaction interface includes multiple item display areas that match the names of the recommended items. The item display areas include a brief description of the item and a delivery method identifier, which indicates whether the item is delivered immediately or via logistics.

[0127] The item display area refers to a separate display section on the item trading interface for each specific purchasable item. Typically, an item trading interface contains multiple such item display areas, and the items displayed all match the item name corresponding to the item trading entry (e.g., "medical fever-reducing patches"), but may differ in specifications, brand, price, or seller.

[0128] For example, in the item trading interface, multiple item display areas can be presented side by side: Item display area A: 10 medical fever-reducing patches; Item display area B: 6 children's fever-reducing patches; Item display area C: 8 physical cooling patches.

[0129] The brief product description refers to the textual information within each product display area that concisely explains the product's core selling points or key specifications. Unlike a detailed product details page, it aims to help users quickly grasp the key points and assist in their purchase decision.

[0130] For example, the brief description of item display area A: 8-hour cooling effect / medical-grade sterile / suitable for adults and children; the brief description of item display area B: cartoon design / gentle skin-friendly gel / designed specifically for children; the brief description of item display area C: economical pack / universal size / basic physical cooling.

[0131] Delivery method labeling refers to the use of prominent visual signage (such as icons combined with text) within each item display area to clearly convey to users the current delivery method and delivery time of the product.

[0132] Instant delivery typically refers to services such as "delivery within hours," "delivery within minutes," and "same-city express delivery." It's often labeled with phrases like "delivery in seconds," "delivery in 30 minutes," and "delivery in 15 minutes." This type of delivery can meet users' urgent needs, significantly improving purchase conversion and user experience in emergency situations.

[0133] Logistics delivery typically refers to transportation via express delivery, with delivery times generally ranging from 1 to 3 days or longer. It is indicated as "Express Delivery (estimated delivery within 24 hours)" or "Regular Logistics (delivery in 2-3 days)". This method is suitable for non-urgent needs, providing users with a more cost-effective standard delivery option.

[0134] This embodiment of the disclosure embeds a product transaction entry point into the user guide information. Users can directly jump to the product transaction interface by clicking, quickly triggering the shopping scenario without having to search on an e-commerce platform. This shortens the path from consultation to transaction, improves user experience, and helps increase transaction success rate. Furthermore, displaying delivery method indicators on the product transaction interface provides users with complete purchase reference information, including delivery time, thereby effectively improving the convenience and overall efficiency of product transactions.

[0135] Figure 5 A schematic diagram of an item trading interface according to an embodiment of the present disclosure is shown.

[0136] like Figure 5 As shown, based on user clicks Figure 4 The following example illustrates the item trading interface for the recommended item "ibuprofen suspension". This interface uses a "comprehensive recommendation" sorting strategy and displays multiple item display areas matching the recommended item name "ibuprofen suspension". Examples include item display areas 510, 520, and 530.

[0137] Each item display area provides information about the item, including: item name, sales data, user rating, current price compared to the original price, and promotional activities. For example, item display area 510 clearly displays the item name "Meilin Ibuprofen Suspension," sales data "1 million+ reviews," user rating "99% positive reviews," price information "¥32.21 ¥33.90," and promotional activity "¥50 off ¥1000."

[0138] In addition, each product display area also includes delivery method labels to clearly convey the type of logistics service. For example, the label "Self-operated, Instant Delivery" in product display area 510 indicates that the product supports instant delivery service and can meet the user's emergency medication needs; while display areas that are only labeled "Self-operated" correspond to standard logistics and delivery services.

[0139] Figure 5 The product display interface shown is designed to help users quickly compare and make purchasing decisions by centrally presenting multiple matching options and clear delivery information, achieving a smooth experience from intelligent recommendations to one-click shopping.

[0140] The following explains the process of generating item recommendation schemes.

[0141] According to embodiments of this disclosure, the method further includes: retrieving reference information from a preset knowledge base that matches the situational information, wherein the reference information contains knowledge content in multiple dimensions; and determining recommended item information in the multiple dimensions based on the knowledge content in the multiple dimensions.

[0142] The pre-built knowledge base is a pre-constructed information database or knowledge graph with a structured organization. Its content is not a simple list of products, but rather includes a systematic solution framework and item-related knowledge system for specific fields (such as medical health, beauty and skincare, home repair, etc.), which can organically link user situations, solution strategies, corresponding items, and usage instructions.

[0143] Taking the health and medicine scenario as an example, the preset knowledge base can be in the form of a medical knowledge base, which can contain structured information such as: "For the common situation of 'low-grade fever at night in infants and young children,' the standard treatment strategy (i.e., intervention type) includes: 1) Physical cooling (corresponding item example: fever-reducing patch, usage instructions: apply to the forehead...); 2) Drug intervention (corresponding item example: ibuprofen suspension, usage instructions: when the body temperature is >38.5℃, the dosage should be calculated according to the body weight...); 3) Rehydration and observation (corresponding suggestions...).

[0144] The process of retrieving reference information can involve using the analyzed situational information as the basis for a query, searching for the most relevant and matching solution templates and related knowledge entries in a pre-defined knowledge base. This process is not simply keyword matching, but rather based on a semantic understanding of the user's situation (e.g., "parents seeking safe care for an infant with a low-grade fever at night"), locating the corresponding "problem-strategy" framework in the knowledge base. For example, if the situational information analyzed by the agent is "infant, nighttime, low-grade fever, no other serious symptoms, parents seeking safe care," then using this as input, the reference information retrieved from the medical knowledge base might be a knowledge unit called "Guidelines for Home Care of Non-Emergency Fever in Infants," which explicitly states that it should cover several intervention dimensions such as "physical cooling," "drug availability," "immune support," and "monitoring care."

[0145] Reference information is knowledge content retrieved from the knowledge base that matches the user's situation and includes multiple different solutions (i.e., dimensions). For example, it may include specific guidance content for different dimensions such as "physical cooling", "drug preparation", "immune support" and "monitoring care".

[0146] The item recommendation scheme refers to determining specific recommended item information and generating complete recommended item information based on the knowledge content of each dimension in the reference information.

[0147] The item recommendation scheme refers to further determining specific recommended items based on the knowledge content corresponding to each dimension in the reference information, generating recommended item information that includes complete usage guidance, and ultimately forming a systematic and structured comprehensive suggestion scheme.

[0148] This embodiment of the disclosure retrieves reference information containing multiple dimensions of knowledge content that matches the situational information from a preset knowledge base, and determines the recommended item information for the corresponding dimension based on the reference information. This achieves knowledge support and scientific rigor for item recommendations, ensuring the professionalism and reliability of the recommended item information, thereby improving the rationality of the item recommendation scheme and user trust.

[0149] According to embodiments of this disclosure, in addition to displaying item recommendation schemes on the interactive interface, item recommendation cards matching the item recommendation schemes can also be displayed on the interactive page.

[0150] An item recommendation card is an independent visual component used by an agent to visually display a complete item recommendation scheme on an interactive page. Specifically, the item recommendation card may include item sub-areas for displaying recommended items for each of the aforementioned multiple dimensions.

[0151] An item sub-area refers to an independent display block within the item recommendation card, divided for each dimension of recommended items. Each sub-area specifically displays the detailed product information corresponding to that dimension. Specifically, each item sub-area may include a brief description of the item and a delivery method identifier, which indicates whether it is immediate delivery or logistics delivery.

[0152] A brief description of an item refers to a short text description of the item's core features or key information within the item's sub-area.

[0153] Delivery method identifiers are visual identifiers used to clearly show the delivery method and timeliness of goods.

[0154] This embodiment of the disclosure displays item recommendation cards in item sub-areas containing recommended items corresponding to multiple dimensions on an interactive page, thereby achieving a visual and structured presentation of item recommendation information. This allows users to intuitively obtain item details and delivery methods for different intervention types, effectively improving the clarity of item recommendations and the convenience of user selection.

[0155] According to embodiments of this disclosure, when the above-mentioned item delivery method is instant delivery, the above-mentioned item sub-area also includes estimated delivery time information.

[0156] By displaying the estimated delivery time, delivery efficiency can be visualized, allowing users to intuitively grasp the expected delivery time of their items. This improves the timeliness and certainty of purchasing decisions, while also enhancing users' perception and satisfaction with the delivery service.

[0157] According to embodiments of this disclosure, the aforementioned item recommendation card further includes a transaction operation entry point, which includes at least one of the following: an "Instant Purchase" entry point and an "Add to Cart" entry point.

[0158] The transaction entry point refers to an interactive component embedded in the item recommendation card, allowing users to directly perform key purchase actions on the recommended products displayed on the card. Essentially, it's a quick action button designed to allow users to complete the core steps of placing an order without leaving the current recommendation context (such as a chat window) or jumping to a traditional product details page.

[0159] This embodiment of the disclosure embeds a transaction operation entry point, including an "Instant Purchase" entry and an "Add to Cart" entry, into the item recommendation card, thereby achieving a convenient connection from item information display to transaction operation, simplifying the user's purchase process, and improving transaction conversion efficiency and user purchase experience.

[0160] The following explains the process of generating item recommendation cards.

[0161] According to embodiments of this disclosure, the method further includes: determining a delivery method for the recommended items based on the urgency of the current situation determined by the situation information, the item attributes of the recommended items, and the location information of the target object; determining items to be displayed from an item library adapted to the delivery method based on the delivery method of the recommended items; and generating an item recommendation card containing a brief description of the item and an identifier of the delivery method based on the item to be displayed.

[0162] The urgency level of the current situation refers to the time-sensitive nature of the user's needs, derived from situational information analysis, and directly determines the priority of delivery methods. For example, when a user inquires about "a child having a high fever of 39 degrees Celsius in the middle of the night," it can be determined as a high urgency level, in which case the medicine needs to be delivered as soon as possible, and the system will prioritize matching the "instant delivery" method; if a user inquires about "wanting to buy some vitamin C supplements for daily use," it belongs to a medium to low urgency level, with less stringent time requirements, and can be matched with standard logistics delivery methods.

[0163] Item attributes refer to the inherent characteristics of a product as represented by the recommended item information, such as item category (pharmaceuticals / health products / daily necessities), storage conditions (whether cold chain transportation is required), and specifications (whether it belongs to a product with special management or transportation requirements). Taking certain biological agents that require refrigeration throughout the entire process as an example, their item attributes limit their suitability for immediate delivery; while ordinary pharmaceuticals or health products (such as fever-reducing patches and vitamin C) have conventional item attributes and basically have no special restrictions on delivery methods.

[0164] The target's location information refers to the user's current geographical location. This information is the basis for matching the coverage area of ​​the "instant delivery" service and estimating the "logistics delivery" time. For example, if the user is located in District B of City A, the system will use this location information to determine which nearby pharmacies or forward warehouses have available inventory. It should be noted that the user's authorization or consent was obtained before acquiring or collecting the user's personal information and location information.

[0165] The item inventory adapted to the above delivery methods refers to the platform's internal inventory system, which categorizes and manages goods based on fulfillment capabilities. It is not a single inventory, but rather a collection of sub-inventories divided according to different delivery models. For example: Instant Delivery Item Inventory: Includes all goods from local pharmacies, supermarkets, and other pre-positioned warehouses that have integrated with "hourly delivery" or fast delivery services. Logistics Delivery Item Inventory: Includes all goods shipped directly from regional central warehouses or manufacturers.

[0166] Taking "ibuprofen suspension" as an example, this product may exist in both of the aforementioned item databases simultaneously. The system will retrieve the product from the corresponding item database based on the determined "delivery method" and obtain information such as its real-time inventory, sales price, and estimated delivery time under that delivery mode.

[0167] This embodiment of the disclosure determines the delivery method of an item by combining the urgency of the current situation, the attributes of the item, and the location information of the target object. Then, it accurately selects recommended items from an item library that is compatible with the delivery method and generates an item recommendation card that includes a brief description of the item and an identifier of the delivery method. This achieves the accuracy and personalization of item recommendations, which not only ensures delivery efficiency in different scenarios, but also improves the user's shopping experience and service quality.

[0168] It should be noted that the item recommendation cards displayed may differ depending on the delivery method. For example, the item recommendation card for items eligible for instant delivery may include an "Instant Delivery" label and the estimated delivery time.

[0169] Figure 6A and Figure 6B A schematic diagram of an item recommendation card according to an embodiment of the present disclosure is shown.

[0170] Figure 6A The image shows an item recommendation card generated when the delivery method is instant delivery. The card is titled "Professional Pairing Recommendations" and clearly indicates "Faster Delivery," visually demonstrating its recommendation strategy based on rapid delivery capabilities.

[0171] The product recommendation card 600A is divided into three parallel sub-areas: 610a for "physical cooling," 620a for "medical intervention," and 630a for "immune support." Each sub-area contains key information such as: product image, product name, and delivery method. For example, sub-area 610a includes a product image 611, a product name 612 (e.g., "10 fever-reducing patches"), a delivery method 613 (e.g., "instant delivery"), and an estimated delivery time 614 (e.g., "delivered in 15 minutes"), clearly informing the user of the delivery time commitment; a brief product description 615 (e.g., "skin-friendly gel | temperature-sensitive color-changing | physical cooling"), highlighting the product's core features; and the final price 616.

[0172] At the bottom of the item recommendation card 600A, there is a transaction operation entry point, including "Add to Cart" 640a and "Buy Now" 650a buttons, which allow users to perform one-click operation on the three items integrated in the card, realizing a seamless connection from the solution recommendation to the completion of the order.

[0173] Figure 6B This example (600B) shows an item recommendation card generated when the delivery method is logistics delivery (not instant delivery). It demonstrates an item recommendation card generated based on a "comprehensive recommendation" strategy when the system determines the delivery method to be logistics delivery (not instant delivery). The card is titled "Recommended Options" and labeled "Comprehensive Recommendation," indicating its focus on the comprehensiveness and cost-effectiveness of the product mix.

[0174] The item recommendation card 600B contains three sub-areas: sub-area 610b for "physical cooling," sub-area 620b for "medical intervention," and sub-area 630b for "immune support." Figure 6A Unlike item recommendation card 600A, item recommendation card 600B does not indicate instant delivery time such as "15-minute delivery" and does not have the "instant delivery" label before the product name, further confirming that it is delivered through conventional logistics channels.

[0175] and Figure 6A Similar to the item recommendation card 600A shown, item recommendation card 600B provides "Add to Cart" 640b and "Buy Now" 650b at the bottom, allowing users to conveniently place an order for the entire recommendation package with one click.

[0176] According to embodiments of this disclosure, the method further includes: determining, based on the situation information, target historical evaluation information that matches the current situation from multiple historical evaluation information for the target item; and displaying an evaluation card containing the target historical evaluation information on the interactive page.

[0177] Historical review information refers to the sum of reviews left by all users who have previously purchased and reviewed a target item (such as a "fever-reducing patch"). This information usually exists on e-commerce platforms in the form of "user reviews" or "buyer showcases," and includes ratings, text, images, videos, etc.

[0178] Target historical evaluation information refers to historical evaluation information selected from historical evaluation information that is similar to the current user's identity, usage scenario, and core concerns. Matching dimensions can include user identity matching, such as filtering evaluations that "also used for a 3-year-old baby"; usage scenario matching, such as filtering evaluations that "also used for nighttime fever" or "used for fever caused by roseola in infants"; core concern matching: if the current user is worried about "whether it will cause allergies", then filtering evaluations that mention "very gentle, my child didn't get red after using it"; if worried about "effectiveness", then filtering evaluations that "the body temperature gradually decreased after one hour of use".

[0179] Evaluation cards are structured visual components that are displayed independently on interactive pages (such as next to chat windows or recommendation cards) to present historical evaluation information of selected targets.

[0180] This embodiment of the disclosure provides users with contextualized usage feedback from real consumers by presenting historical evaluation information that is highly relevant to the current situation on the evaluation card, effectively enhancing the trust and persuasiveness of the item recommendations.

[0181] According to embodiments of this disclosure, the aforementioned historical evaluation information may include the evaluation subject and the evaluation content; the aforementioned evaluation card includes a subject information area and an evaluation content area; the aforementioned subject information area is used to display the subject identifier and subject level of the aforementioned evaluation subject, and the aforementioned evaluation content area is used to display a summary of the aforementioned evaluation content.

[0182] The "Evaluator" refers to the specific user who posted the evaluation. The "Evaluation Content" refers to the text, images, or videos posted by the evaluator, directly expressing their user experience and subjective opinions. The "Evaluator Identifier" is used to identify the evaluator, such as their name, avatar, or tags. The "Evaluator Level" is a rating assigned by the platform to assess the evaluator's credibility or activity level, such as tags like "Diamond Member" or "Parenting Expert." Generally, the higher the level, the more valuable the evaluation. The "Content Summary" is a key portion of the evaluation content, extracted and presented after refinement. It does not display the entire original text (especially for longer evaluations), but rather highlights the most relevant and important information segments for the current context through intelligent extraction.

[0183] It should be noted that the number of evaluations included in the evaluation card can be configured according to actual needs; for example, the number of evaluations can be one, two, etc.

[0184] Figure 7 A schematic diagram of an evaluation card according to an embodiment of the present disclosure is shown.

[0185] like Figure 7 As shown, the evaluation card 700 in this embodiment includes a card title 710 "Real Buyer Reviews," which highlights that the information comes from real consumers, thereby establishing the credibility of the content. The evaluation card 700 contains two independent evaluation display areas, namely evaluation display area 720 and evaluation display area 730, each of which is divided into a main information area and an evaluation content area.

[0186] Taking the evaluation display area 730 as an example, the main information area 731 is located at the top of the evaluation display area 730 and is used to present the relevant identity information of the evaluation subject. As shown in the figure, this area displays the evaluator identifier "book...t" and the default user avatar, which together constitute the basic identification of the evaluation subject.

[0187] The evaluation content area 732, located below the main information area 731, displays a refined summary of the evaluation content. The text shown in the image, "My child had a fever, so I bought two boxes to reduce it. Delivery was fast, and it works well," is a key content summary matched and extracted by the system based on the current user's context of inquiring about "fever-reducing patches" (e.g., "child has a fever" and "needs fast delivery"). This summary directly and concisely presents the core experiences of historical buyers in similar usage scenarios ("for fever reduction"), their evaluation of the delivery service ("fast delivery"), and their affirmation of the product's effectiveness ("works well"), thus closely aligning with the current user's potential concerns and decision-making needs.

[0188] This embodiment of the disclosure achieves a structured and visual presentation of historical evaluation information by setting up a subject information area for displaying the evaluation subject's identifier and level, and an evaluation content area for presenting a summary of the evaluation content in the evaluation card. This allows users to intuitively obtain the credibility information of the evaluation subject and the core points of the evaluation content, thereby improving the reference value of the evaluation information and the scientific nature of user decision-making.

[0189] According to an embodiment of this disclosure, the method further includes: in response to a trigger operation on the evaluation card, jumping to the evaluation details interface for the evaluation card, wherein the evaluation details interface includes the user identifier and user level of the user making the evaluation, as well as the complete evaluation content.

[0190] The review details page refers to a separate page or pop-up window that comprehensively displays information related to a specific review. This page serves as an extension and complete presentation of the "review card," aiming to provide users with more comprehensive and in-depth review details. For example, when a user clicks... Figure 7 The evaluation content shown can display complete rating information, which may include text, images, videos, etc.

[0191] Figure 8 A schematic diagram of an evaluation details interface according to an embodiment of the present disclosure is shown.

[0192] like Figure 8 As shown, 800 users clicked on the review details page. Figure 7 The evaluation details interface is displayed after the evaluation content in the evaluation card shown. This evaluation details interface 800 is titled "Evaluation Details" and fully presents the specific product information being evaluated: "Fever-reducing patch, temperature-sensitive color-changing medical children's and adults' cooling and soothing cold compress ice pack 30 patches".

[0193] The interface displays detailed user information, including user ID "book***t", user level "diamond member", and purchase history "purchased from this store ≥ 2 times".

[0194] The core of the interface is a complete user review: "My child had a fever, so I bought two boxes to reduce it. The delivery was fast, it's easy to use, and it's individually packaged. It's very cost-effective and economical. I don't have to go to the pharmacy myself. It's a big brand with a good reputation for quality, so I feel confident buying it." This content comprehensively covers the user's specific feedback on the product's usage scenarios, delivery time, user experience, packaging design, cost-effectiveness, and brand trust.

[0195] In addition, product images related to the reviewed product are displayed below the review content so that users can more clearly understand the core features of the product.

[0196] This embodiment of the disclosure, by responding to the trigger operation of the evaluation card, jumps to a details interface containing the evaluation user's identifier, user level, and complete evaluation content, realizing the structured presentation of evaluation information and improving the credibility and reference value of the evaluation content for users.

[0197] The following is combined with Figure 9 The interaction method of the embodiments of this disclosure will be described.

[0198] Figure 9 A schematic diagram of an interaction method according to an embodiment of the present disclosure is shown.

[0199] like Figure 9 As shown, the interaction method of this embodiment includes operations S910 to S990.

[0200] The S910 is used to obtain user information regarding the target item and determine the user's intent.

[0201] In operation S920, it is determined whether the user's intent is a preset intent, which may include scenarios involving symptom description, disease consultation, medication consultation, etc. If yes, operation S930 is executed; otherwise, operation S990 is executed.

[0202] In Operation 930, the agent engages in multiple rounds of dialogue with the user to collect situational information about the user's current situation.

[0203] In operation S940, it is determined whether the user is suitable to use the target item based on the situation information; if suitable, operations S950 and S970 are executed respectively; if not suitable, operation S990 is executed.

[0204] When operating the S950, based on the situation information, knowledge content of multiple dimensions that match the situation information is retrieved from a preset knowledge base.

[0205] When operating the S960, recommended item information is determined based on knowledge from multiple dimensions.

[0206] In operation S970, based on situational information, the target historical evaluation is determined from the historical evaluations of the target item.

[0207] When operating the S980, it displays item recommendation information and target historical evaluations.

[0208] When operating the S990, directly answer user inquiries.

[0209] Based on the above-described agent-based item recommendation method, this disclosure also provides an agent-based item recommendation device. The following will combine... Figure 10 The device is described in detail.

[0210] Figure 10 A block diagram of an item recommendation device based on agent interaction according to an embodiment of the present disclosure is shown schematically.

[0211] like Figure 10 As shown, the item recommendation device 1000 based on intelligent agent interaction in this embodiment includes: a first display module 1010, a determination module 1020, and a second display module 1030.

[0212] The first display module 1010 is used to display interactive pages about the target item.

[0213] The second determining module 1020 uses language to determine the current situation information of the target object based at least on the interaction content during the interaction between the target object and the intelligent agent based on the aforementioned interactive page.

[0214] The second display module 1030 is used to display item recommendation schemes that match the situation information on the interactive page. The item recommendation schemes include recommended item information, which includes the target item and items that can be used in combination with the target item to solve the current situation of the target object.

[0215] According to embodiments of this disclosure, the above-described apparatus further includes: a second determining module and a third display module.

[0216] The second determining module is used to determine, based on the aforementioned situation information, target historical evaluation information that matches the current situation from multiple historical evaluation information for the aforementioned target item.

[0217] The third display module is used to display evaluation cards containing historical evaluation information of the aforementioned targets on the interactive page.

[0218] According to embodiments of this disclosure, the aforementioned historical evaluation information includes the evaluation subject and the evaluation content; the aforementioned evaluation card includes a subject information area and an evaluation content area, wherein the subject information area is used to display the subject identifier and subject level of the aforementioned evaluation subject, and the aforementioned evaluation content area is used to display a summary of the aforementioned evaluation content.

[0219] According to embodiments of this disclosure, the above-described apparatus further includes a first jump module.

[0220] The first redirect module is used to respond to the trigger operation for the above-mentioned evaluation card and redirect to the evaluation details interface for the above-mentioned evaluation card. The evaluation details interface includes the user's user ID and user level, as well as the complete evaluation content.

[0221] According to embodiments of this disclosure, the apparatus further includes a fourth display module.

[0222] The fourth display module displays item recommendation cards that match the item recommendation scheme on the interactive page. The item recommendation card includes an item sub-area for displaying at least one recommended item included in the item recommendation scheme. The item sub-area includes a brief description of the item and a delivery method identifier, which indicates whether it is instant delivery or logistics delivery.

[0223] According to embodiments of this disclosure, the above-described apparatus further includes: a third determining module, a fourth determining module, and a generating module.

[0224] The third determining module is used to determine the delivery method of the recommended items based on the urgency of the current situation determined by the aforementioned situation information, the item attributes of the recommended items, and the location information of the target object.

[0225] The fourth determination module is used to determine the items to be displayed from the item library that is compatible with the above-mentioned item delivery methods, based on the item delivery methods of the recommended items.

[0226] The generation module is used to generate an item recommendation card that includes a brief description of the item and the delivery method identifier based on the item to be displayed.

[0227] According to embodiments of this disclosure, when the above-mentioned item delivery method is instant delivery, the above-mentioned item sub-area also includes estimated delivery time information.

[0228] According to embodiments of this disclosure, the aforementioned item recommendation card further includes a transaction operation entry point, which includes at least one of the following: an "Instant Purchase" entry point and an "Add to Cart" entry point.

[0229] According to embodiments of this disclosure, the above-mentioned item recommendation scheme includes recommended item information from multiple dimensions.

[0230] According to the implementation of this disclosure, the second display module includes: a first display submodule.

[0231] The first display submodule is used to display a solution card containing the above-mentioned item recommendation scheme on the above-mentioned interactive page. The solution card includes sub-areas corresponding to the above-mentioned multiple dimensions, and the sub-areas include dimension labels and recommended item information.

[0232] According to embodiments of this disclosure, the aforementioned sub-region also includes an item transaction entry corresponding to the recommended item name in the aforementioned recommended item information.

[0233] According to embodiments of this disclosure, the above-described apparatus further includes a second jump module.

[0234] The second redirect module is used to respond to the trigger operation of the above-mentioned item transaction entry and redirect to the item transaction interface corresponding to the recommended item name associated with the above-mentioned item transaction entry. The item transaction interface includes multiple item display areas that match the above-mentioned recommended item names. The item display area includes a brief description of the item and a delivery method identifier. The delivery method identifier is used to indicate instant delivery or logistics delivery.

[0235] According to embodiments of this disclosure, the above-described apparatus further includes a retrieval module and a fifth determination module.

[0236] The retrieval module is used to retrieve reference information that matches the above-mentioned situation information from a preset knowledge base, wherein the reference information contains knowledge content in multiple dimensions;

[0237] The fifth determination module is used to determine the recommended item information based on the knowledge content of the above multiple dimensions.

[0238] Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure, or at least part of the functions of any one or more of them, can be implemented in one module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be implemented by dividing them into multiple modules. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as hardware circuitry, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a System-on-Chip, a System-on-a-Substrate, a System-on-Package, an Application-Specific Integrated Circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as computer program modules, which, when run, can perform corresponding functions.

[0239] For example, any plurality of the first display module 1010, the first determination module 1020, and the second display module 1030 can be combined into one module / unit / subunit, or any one of these modules / units / subunits can be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits can be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of this disclosure, at least one of the first display module 1010, the first determination module 1020, and the second display module 1030 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging the circuitry, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in a suitable combination of any of these. Alternatively, at least one of the first display module 1010, the first determination module 1020, and the second display module 1030 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0240] It should be noted that the item recommendation device part based on intelligent agent interaction in the embodiments of this disclosure corresponds to the item recommendation method part based on intelligent agent interaction in the embodiments of this disclosure. For a detailed description of the item recommendation device part based on intelligent agent interaction, please refer to the item recommendation method part based on intelligent agent interaction, which will not be repeated here.

[0241] Figure 11 A block diagram of an electronic device suitable for implementing the methods described above, according to embodiments of the present disclosure, is illustrated schematically. Figure 11 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0242] like Figure 11 As shown, an electronic device 1100 according to an embodiment of the present disclosure includes a processor 1101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1102 or a program loaded from a storage portion 1108 into a random access memory (RAM) 1103. The processor 1101 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 1101 may also include onboard memory for caching purposes. The processor 1101 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0243] RAM 1103 stores various programs and data required for the operation of electronic device 1100. Processor 1101, ROM 1102, and RAM 1103 are interconnected via bus 1104. Processor 1101 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 1102 and / or RAM 1103. It should be noted that the programs may also be stored in one or more memories other than ROM 1102 and RAM 1103. Processor 1101 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in said one or more memories.

[0244] According to embodiments of this disclosure, the electronic device 1100 may further include an input / output (I / O) interface 1105, which is also connected to a bus 1104. The electronic device 1100 may also include one or more of the following components connected to the input / output (I / O) interface 1105: an input section 1106 including a keyboard, mouse, etc.; an output section 1107 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1108 including a hard disk, etc.; and a communication section 1109 including a network interface card such as a LAN card, modem, etc. The communication section 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the input / output (I / O) interface 1105 as needed. A removable medium 1111, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 1110 as needed so that computer programs read from it can be installed into the storage section 1108 as needed.

[0245] According to embodiments of this disclosure, the method flow according to embodiments of this disclosure can be implemented as a computer software program. For example, embodiments of this disclosure include a computer program article comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via communication section 1109, and / or installed from removable medium 1111. When the computer program is executed by processor 1101, it performs the functions defined in the system of embodiments of this disclosure. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0246] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0247] According to embodiments of this disclosure, the computer-readable storage medium can be a non-volatile computer-readable storage medium. Examples include, but are not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0248] For example, according to embodiments of this disclosure, a computer-readable storage medium may include one or more memories other than the ROM 1102 and / or RAM 1103 described above and / or ROM 1102 and RAM 1103.

[0249] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods provided in the embodiments of this disclosure. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the methods provided in the embodiments of this disclosure.

[0250] When the computer program is executed by the processor 1101, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0251] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 1109, and / or installed from the removable medium 1111. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0252] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on a user's computing device, partially on a user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0253] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions. Those skilled in the art will understand that the features described in the various embodiments of the present disclosure can be combined and / or combined in various ways, even if such combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments of this disclosure may be combined and / or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0254] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A method for recommending items based on intelligent agent interaction, characterized in that, include: Display an interactive page about the target item; During the interaction between the target object and the intelligent agent based on the interactive page, the current situation information of the target object is determined at least based on the interaction content; as well as The interactive page displays item recommendation schemes that match the situation information. The item recommendation schemes include recommended item information, which includes the target item and items that can be used in combination with the target item to solve the current situation of the target object.

2. The method according to claim 1, characterized in that, Also includes: Based on the situation information, target historical evaluation information that matches the current situation is determined from multiple historical evaluation information for the target item; The interactive page displays an evaluation card containing the target's historical evaluation information.

3. The method according to claim 2, characterized in that, The target historical evaluation information includes the evaluation subject and evaluation content; The evaluation card includes a main information area and an evaluation content area. The main information area is used to display the main identifier and main level of the evaluation subject, and the evaluation content area is used to display a summary of the evaluation content.

4. The method according to claim 2 or 3, characterized in that, Also includes: In response to a trigger operation on the rating card, the user is redirected to the rating details interface for the rating card. The rating details interface includes the user's ID and user level, as well as the complete rating content.

5. The method according to claim 1, characterized in that, Also includes: The interactive page displays item recommendation cards that match the item recommendation scheme. Each item recommendation card includes an item sub-area for displaying at least one recommended item included in the item recommendation scheme. The item sub-area includes a brief description of the item and a delivery method identifier, which indicates whether the item is delivered immediately or via logistics.

6. The method according to claim 5, characterized in that, Also includes: The delivery method for the recommended item is determined based on the urgency of the current situation as determined by the situation information, the item attributes of the recommended item, and the location information of the target object. Based on the delivery method of the recommended items, determine the items to be displayed from the item library that is compatible with the delivery method; Based on the item to be displayed, generate an item recommendation card that includes a brief description of the item and the delivery method identifier.

7. The method according to claim 6, characterized in that, When the item delivery method is instant delivery, the item sub-area also includes estimated delivery time information.

8. The method according to any one of claims 5 to 7, characterized in that, The item recommendation card also includes a transaction operation entry point, which includes at least one of the following: "Buy Now" entry point and "Add to Cart" entry point.

9. The method according to claim 1, wherein, The item recommendation scheme includes recommended item information from multiple dimensions; The item recommendation scheme displayed on the interactive page that matches the situation information includes: The interactive page displays a solution card containing the item recommendation scheme. The solution card includes sub-areas corresponding to the multiple dimensions, and each sub-area includes dimension labels and recommended item information.

10. The method according to claim 9, characterized in that, The sub-area also includes an item transaction entry corresponding to the recommended item name in the recommended item information; The method further includes: In response to a trigger operation on the item transaction entry point, the user is redirected to the item transaction interface corresponding to the recommended item name associated with the item transaction entry point. The item transaction interface includes multiple item display areas that match the recommended item name. Each item display area includes a brief description of the item and a delivery method identifier, which indicates whether the item is delivered immediately or via logistics.

11. The method according to claim 9 or 10, characterized in that, Also includes: Retrieve reference information that matches the situation information from a preset knowledge base, wherein the reference information contains knowledge content in multiple dimensions; Based on the knowledge content of the multiple dimensions, the recommended item information of the multiple dimensions is determined.

12. An item recommendation device based on intelligent agent interaction, comprising: The first display module is used to show interactive pages about the target item; The first determining module is used to determine the current situation information of the target object based at least on the interaction content during the process of the target object interacting with the intelligent agent based on the interactive page. as well as The second display module is used to display item recommendation schemes that match the situation information on the interactive page. The item recommendation schemes include recommended item information, which includes the target item and items that can be used in combination with the target item to solve the current situation of the target object.

13. An electronic device, comprising: One or more processors; Memory, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 11.

14. A computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 11.

15. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 11.

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