A method and apparatus for generating product descriptions

Abstract

This disclosure discloses a method and apparatus for generating product copy. The method includes: determining copy materials for a target product at the product level; the copy materials at the product level include product attribute tags and copy generation templates; determining copy materials for the target product at the user level; the copy materials at the user level include user consumption scenarios and user needs and preferences; and generating target copy corresponding to the target product based on the copy materials at the product and user levels, as well as the preset placement scenarios for the target copy. This implementation enables the generated product copy to adapt to the current placement scenario and target user group, improving the quality and effectiveness of the product copy.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and more specifically, to the design of a method and apparatus for generating text for items. Background Technology

[0002] In e-commerce scenarios, there are diverse marketing placement scenarios, a rich user base, and a massive number of product categories. The product copy created using conventional intelligent writing assistants tends to be too formal and generic, making it unsuitable for the diverse placement scenarios and user groups. Its quality is usually low, which leads to a decrease in the marketing effectiveness of the product copy. Summary of the Invention

[0003] In view of this, the present disclosure provides at least one method and apparatus for generating product descriptions, which enables the generated product descriptions to adapt to the current delivery scenario and target user group, thereby improving the quality and effectiveness of the product descriptions.

[0004] In a first aspect, embodiments of this disclosure provide a method for generating text for an item, including:

[0005] Determine the textual materials for the target item at the item level; the textual materials at the item level include item attribute tags and text generation templates;

[0006] Determine the target product's copywriting materials from a user perspective; user-centric copywriting materials include user consumption scenarios and user needs and preferences;

[0007] Based on the copywriting materials for the target item in terms of both the item and user dimensions, as well as the pre-set placement scenarios for the target copy, generate target copy corresponding to the target item.

[0008] Optionally, determine the text generation template for the target item, including:

[0009] Based on the category of the target item, determine the corresponding copywriting template from a pre-established material set; the material set should include at least one of the following: brand story, item production process, item design process, item matching method, and item usage scenario.

[0010] Optionally, the user consumption scenario includes target user characteristics, item usage scenarios, and item usage times; determining the user consumption scenario for the target item includes:

[0011] Cluster analysis is performed on the registration information and consumption behavior data of users who purchase the target item to determine the characteristics of the target users corresponding to the target item;

[0012] Based on feedback data from users who purchased the target item, determine the corresponding usage scenarios for the target item;

[0013] Time series analysis is performed on the transaction time data, purchase methods and environmental information associated with the target item to determine the item usage time corresponding to the target item;

[0014] Based on the characteristics of the target users, the usage scenarios of the items, and the time of use of the items, determine the user consumption scenarios of the target items.

[0015] Optionally, determine user needs and preferences for the target item, including:

[0016] Acquire user review texts corresponding to the target item, identify item attribute dimensions in the user review text that appear more frequently than a preset threshold, and user opinions under the item attribute dimensions;

[0017] The item attribute dimensions and user opinions under the item attribute dimensions are classified separately. The classification results, the item attribute dimensions in the user comment text, and the user opinions under the item attribute dimensions are combined to obtain the comment analysis results corresponding to the target item.

[0018] Based on the review analysis results, determine the user needs and preferences for the target item.

[0019] Optionally, the method further includes:

[0020] In response to the absence of user review text for the target item, alternative items with a similarity exceeding a preset threshold are selected from the candidate item pool based on the target item's category and attributes.

[0021] By using user reviews of alternative items as user reviews of the target item, we can determine the user needs and preferences for the target item.

[0022] Optionally, the method further includes:

[0023] Based on the characteristics of the target users corresponding to the target items, determine the author profile of the target copy;

[0024] Based on the copywriting materials for the target item in terms of both item and user dimensions, the pre-set placement scenarios for the target copywriting, and the author profile, generate target copywriting that corresponds to the target item.

[0025] Secondly, embodiments of this disclosure provide an item description generation device, comprising:

[0026] The Item Materials module is used to determine the textual materials for the target item at the item level; the textual materials at the item level include item attribute tags and text generation templates.

[0027] The User Materials module is used to determine the copywriting materials for the target item from a user perspective; the copywriting materials from a user perspective include user consumption scenarios and user needs and preferences.

[0028] The copywriting generation module is used to generate target copywriting corresponding to the target item based on the copywriting materials of the target item in terms of item dimension and user dimension, as well as the target copywriting preset placement scenario.

[0029] Thirdly, embodiments of this disclosure also provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the first aspect or any optional implementation of the first aspect are performed.

[0030] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the first aspect or any optional implementation thereof.

[0031] Fifthly, embodiments of this disclosure also provide a computer program product, including a computer program that, when executed by a processor, implements the methods of any of the above embodiments.

[0032] Any of the above-mentioned aspects or any implementation methods, by jointly constructing marketing copy for the target item using copywriting materials in both the item and user dimensions, can ensure that the generated copy adapts to the current placement scenario and target user group, thereby improving the quality of the copy and marketing effectiveness. Specifically, the copywriting materials in the item dimension mainly include the item's selling points and copywriting generation templates; item attribute tags refer to the item's core advantages, characteristics, and uniqueness, such as a skincare product whose selling points might include "deep moisturizing" and "all-day hydration"; the copywriting generation template refers to the content format used to present the selling points, such as demonstrating the additive-free feature of the target item through its manufacturing process, or demonstrating the item's actual efficacy through usage scenarios and effect demonstrations. The copywriting materials in the user dimension can include user consumption scenarios and user needs and preferences; user consumption scenarios can be understood as what kind of users would buy the target item and what they would do at what time, describing the target user characteristics, usage scenarios, and usage times corresponding to the target item, thereby enabling the generated marketing copy to fit the target user's consumption behavior and preferences, thus achieving better marketing results. User needs and preferences are analyzed to determine the factors users value most when selecting and using items, based on user interests and renewal rates. Understanding these preferences allows marketing copy to better align with users' actual needs, enhancing its personalization and targeting. Furthermore, the generated copy for the target item can be integrated with the advertising context, which typically includes the platform and time of display. Since different platforms cater to different user groups, their copywriting styles, elements, and tone may vary. By incorporating the advertising context into the marketing copy generation process, the resulting copy becomes more suitable for the specific context, improving marketing effectiveness. Therefore, this embodiment of the disclosure, through multi-dimensional profiling, achieves the linkage between context, item, and user, enabling the generation of highly empathetic and product-specific marketing copy.

[0033] The effects of the aforementioned item text generation device, electronic equipment, and storage medium are described in the description of the aforementioned item text generation method, and will not be repeated here. Attached Figure Description

[0034] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. These drawings are incorporated in and constitute a part of this specification. They illustrate embodiments conforming to this disclosure and, together with the specification, serve to explain the technical solutions of this disclosure. It should be understood that the following drawings only show some embodiments of this disclosure and should not be considered as limiting the scope. Those skilled in the art can obtain other related drawings based on these drawings without creative effort.

[0035] Figure 1 A flowchart of a method for generating article text provided in an embodiment of this disclosure is shown;

[0036] Figure 2 A schematic diagram illustrating the determination of item attribute tags provided in an embodiment of this disclosure is shown;

[0037] Figure 3 A flowchart illustrating the process of determining item attribute tags provided in an embodiment of this disclosure is shown;

[0038] Figure 4 A schematic diagram of a text generation template for a target item provided in an embodiment of this disclosure is shown;

[0039] Figure 5 A schematic diagram of a user consumption scenario provided by an embodiment of this disclosure is shown;

[0040] Figure 6 A schematic diagram illustrating user demand preferences provided in an embodiment of this disclosure is shown;

[0041] Figure 7 A schematic diagram of an article text generation device provided in an embodiment of this disclosure is shown;

[0042] Figure 8 An exemplary system architecture in which embodiments of this disclosure can be applied is shown;

[0043] Figure 9 A schematic diagram of the structure of a computer system used to implement the embodiments of the present disclosure is shown. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0045] It should be noted that the collection, use, storage, sharing and transfer of user personal information involved in the technical solution of the present invention all comply with the provisions of relevant laws and regulations, and require notification to users and obtaining their consent or authorization. When applicable, user personal information is subjected to de-identification and / or anonymization and / or encryption technical processing.

[0046] The above problems and solutions are the result of the inventor's practice and careful research. The discovery process of the above problems and the solutions proposed for the above problems should be considered as the inventor's contribution to this disclosure.

[0047] The technical solutions of this disclosure will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. The components of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely to illustrate selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0048] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0049] To facilitate understanding of this embodiment, a detailed description of the item text generation method disclosed in this disclosure is provided first. The execution entity of the item text generation method provided in this disclosure is generally a computer device with a certain computing capability. This computer device may include, for example, a terminal device, a server, or other processing devices. The terminal device may be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, in-vehicle device, wearable device, etc. In some possible implementations, this item text generation method can be implemented by a processor calling computer-readable instructions stored in memory.

[0050] See Figure 1 The diagram shows a flowchart of an article text generation method provided in this embodiment of the present disclosure. The method includes steps S101 to S103, wherein:

[0051] S101: Determine the textual materials for the target item at the item level; the textual materials at the item level include item attribute tags and text generation templates.

[0052] In this embodiment, item attribute tags refer to the unique advantages or features of a target item compared to competing products, which can attract user attention and prompt users to make a purchase decision. Item attribute tags typically highlight the core characteristics or value of the target item and may include functional selling points, emotional selling points, quality selling points, innovative selling points, price selling points, and socially recognized selling points. For example, the functional selling point of an air conditioner could be "powerful cooling" or "energy saving," its emotional selling point could be "keeping the home temperature just right," and its socially recognized selling point can be based on the user's social identity, cultural identity, or sense of belonging to a group; for example, the socially recognized selling point of this air conditioner could be "unique design" or "limited edition." Other types of item attribute tags will not be detailed here.

[0053] In practice, each item usually has a corresponding main image, which typically includes the item's key attribute data; alternatively, the key attribute information can be pre-filled by the merchant. Figure 2 This is a schematic diagram illustrating an embodiment of the present disclosure for obtaining item attribute tags, such as... Figure 2As shown, item attribute tags can be obtained by linking the item's SKU (Stock Keeping Unit; a unique identifier used to identify and manage items) with the item's main image and item attribute information. The item attribute information here can be the attribute values ​​entered by the merchant when listing the item according to the general attribute types of the corresponding item category. For example, if a merchant lists a skincare product, they need to enter attributes such as brand, product, efficacy, target audience, and formula; similarly, if a merchant lists a laptop, they need to enter attributes such as brand, processor, screen refresh rate, and size. The entered item attribute information can be stored in the corresponding system's basic attribute table and linked to the item's SKU; similarly, the item's main image can also be linked to the item through the SKU. Therefore, when determining the item attribute tags for a target item, the system can find the item attribute information corresponding to the current target item from the basic attribute table stored within the system, based on the target item's SKU; simultaneously, technologies such as OCR (Optical Character Recognition) can be used to identify key attribute data related to the target product from the item's main image. Then, the item attribute information extracted from the basic attribute library and the key attribute data identified from the item's main image can be used together for information extraction, and the field values ​​under the corresponding fields can be extracted according to the preset fields. For example, for a skin care product, the preset fields may include brand, product, target audience, applicable scenarios, formula, efficacy, etc.; from the item attribute information and the key attribute data in the main image, the corresponding item attribute tags of the skin care product can be extracted, such as: "Brand: A; Product: Face cream; Target audience: Dry and oily skin, female; Applicable scenario: Valentine's Day gift; Formula: ABC; Efficacy: Repairs the skin barrier in 1 hour and activates the core of cell capabilities."

[0054] In practice, the process of extracting item attribute tags from the information identified in the main image and the item attribute information can be achieved through an artificial intelligence model. For example... Figure 3As shown, the main image recognition information and item attribute information can be organized into a text sequence as input data for the selling point extraction model. After preprocessing by the text processing model, entity type prediction is performed, and the unbalanced loss function is used to obtain the selling point extraction result. For example, assuming that the main image recognition information and item attribute information are integrated into "Brand A hiking shoes 2023 autumn / winter couple anti-slip water-repellent warm outdoor", the corresponding extraction result is "Brand: A; Product: Hiking shoes; Applicable season: autumn / winter; Applicable people: couples; Applicable scene: outdoor; Function: anti-slip, water-repellent, warm". It should be noted that the above process of extracting item attribute tags using an artificial intelligence model is only an example of a possible implementation in this embodiment and does not constitute an improper limitation of the present invention. In practical applications, a corresponding artificial intelligence model can be trained according to the actual situation and needs to achieve similar effects. This embodiment does not make specific limitations in this regard, and the ability to achieve its function shall prevail.

[0055] In another possible implementation, when listing an item, the merchant can fill in the core selling points corresponding to that item. This allows the information pre-filled by the merchant to be directly used as the selling points of the target product when determining the core selling points of the target item later. Alternatively, the item attribute tags of the target item can be determined through big data analysis and mining, user questionnaires, etc. This disclosure does not specifically limit the implementation of these methods, but rather focuses on achieving the desired functionality.

[0056] In this embodiment of the disclosure, in addition to item attribute tags, the textual materials for the target item at the item level may also include a text generation template. Specifically, determining the text generation template for the target item includes: determining the text generation template corresponding to the target item from a pre-established material set based on the item category of the target item; the material set includes at least one of the following: brand story, item production process, item design process, item matching method, and item usage scenario. Here, the text generation template refers to selecting an appropriate perspective or entry point to present item-related content for different item categories and brand backgrounds, in order to better attract user interest and convey the value of the item. This allows for establishing a connection with users through different emotional or cultural associations, thereby increasing the item's attractiveness and purchase motivation.

[0057] In practice, copywriting templates can include brand stories, first-person everyday anecdotes, stories of brand influence, common sense, production process, design process, clothing matching, food matching, eating habits, traditional customs, competitor comparisons, and so on. Figure 4 This is a schematic diagram illustrating the text generation templates that may correspond to different item categories provided in the embodiments of this disclosure, such as... Figure 4As shown, for clothing items, the corresponding copywriting templates can include the target user's scenario story, design process, and clothing matching; for food items, the corresponding copywriting templates can include common sense, preparation process, and food pairings. In the preliminary preparation work, these prepared copywriting templates can be compiled into a resource set. In this resource set, each copywriting template can correspond to different item categories and brand backgrounds. For example, when the target item is a face cream from a popular, affordable brand, the corresponding copywriting template could be the brand's history and a first-person, relatable anecdote to highlight the item's historical significance and usage scenarios; while when the target item is jewelry from an international luxury brand, the corresponding copywriting template could be the design process to highlight the item's unique design. It should be noted that the above-mentioned content on determining the material angle based on the item category and brand background of the target item is only an example of a possible implementation method of this disclosure and does not constitute an improper limitation of the present invention. In practical applications, one or more copywriting generation templates corresponding to the target item can be determined based on information such as the item category, brand background, and core selling points of the target item. This disclosure does not make specific limitations in this regard, and the functionality shall prevail.

[0058] Another possible implementation involves analyzing changes in market regions and user needs to determine the angle of the copywriting for the target product. For example, if users show a high level of interest in the "natural skincare" trend during a certain period, then "production process" or "brand story" can be chosen to emphasize the natural ingredients and additive-free selling points of the target product. If users are particularly interested in "anti-aging and repair" during a certain period, then "life tips" and "first-person, relatable anecdotes" can be chosen to describe how the target product addresses these skin problems during use. Furthermore, the angle of the copywriting can be determined based on user data analysis; for example, some users may have a high frequency of purchase and extensive use of Brand A's face cream, so "usage pairings" can be used as the copywriting template for that face cream to help users understand how to combine it with corresponding products to achieve the best results. It should be noted that the above methods for determining the copywriting template are merely illustrative examples of several possible implementations of this disclosure and do not constitute an improper limitation of the invention. In practical applications, the template can be set according to actual needs and circumstances. This disclosure does not impose specific limitations on this, but rather focuses on achieving its intended function.

[0059] In this embodiment, the textual materials for the target item at the item level may include not only item attribute tags and text generation templates, but also price and promotional information, customer reviews and social testimonials, brand vision, etc. For example, it may include the item's pricing strategy, promotional activities, discounts, and bundled sales; it may also include user experiences and positive feedback from social media. This embodiment does not impose specific limitations on these aspects; in actual implementation, they can be set according to requirements to achieve the desired functionality.

[0060] S102: Determine the copywriting materials for the target item from a user perspective; user-level copywriting materials include user consumption scenarios and user needs and preferences.

[0061] In this embodiment of the disclosure, user consumption scenarios for purchasing target items can be identified. Specifically, user consumption scenarios include target user characteristics, item usage scenarios, and item usage times. Determining the user consumption scenario for a target item includes: performing cluster analysis on the registration information and consumption behavior data of users who purchase the target item to determine the target user characteristics corresponding to the target item; determining the item usage scenarios corresponding to the target item based on the feedback data of users who purchase the target item; performing time series analysis on the transaction time data, purchase method, and environmental information associated with the target item to determine the item usage times corresponding to the target item; and determining the user consumption scenario for the target item based on the target user characteristics, item usage scenarios, and item usage times.

[0062] In practical implementation, the user consumption scenarios of a target product can be explored from three perspectives: target user characteristics, product usage scenarios, and product usage times. Specifically, target user characteristics can represent user identity features, including basic user information, behavioral data, and interest preferences. Basic information can include user age, gender, income, occupation, etc. For example, users of different age groups may have different focuses when purchasing skincare products; younger users may focus more on oil control and whitening functions, while older users may focus more on anti-aging and firming effects. Behavioral data can include purchase frequency, purchase channels, purchasing power, browsing history, etc. By analyzing which user groups purchase a certain item more frequently, the brand's core consumer group can be identified, thereby developing more targeted marketing strategies. This allows the target user characteristics of the target product to be determined. For example, for a high-end skincare product, the corresponding target user characteristics could be "female users, aged 25-40, with middle to high income." It should be noted that the above target user characteristics are only illustrative examples of one possible implementation method in this disclosure and do not constitute an improper limitation of the present invention.

[0063] Specifically, the timing of item usage can indicate when a user typically purchases or uses the item. For example, user needs may differ across seasons or time of day; demand for face cream typically peaks in autumn and winter, while in summer, the focus may be more on oil control and sun protection. Similarly, holidays like Singles' Day (November 11th), Christmas, Valentine's Day, or personal birthdays and anniversaries can all be peak periods for purchasing certain types of items. Furthermore, the timing of item usage can also reflect a user's developmental stage; for instance, skincare beginners may prioritize basic effects when purchasing, while more experienced users may focus on advanced effects such as repair or whitening.

[0064] Furthermore, user consumption scenarios can also include product usage scenarios. Here, product usage scenarios refer to the intended use of the product by the target user, such as for home use, dormitory use, gifting, or as a present. By analyzing the usage scenarios of the target product, we can determine in which scenarios or uses the target product is most prevalent, thereby generating more targeted product copy. Figure 5 This is a schematic diagram of a user consumption scenario provided by an embodiment of the present disclosure, such as... Figure 5 As shown, by analyzing the user consumption scenarios of the target item, we can intuitively obtain the distribution of the target item under different user characteristics, usage times and usage scenarios. Based on this information, we can generate more targeted marketing copy for the target item.

[0065] Another possible implementation involves analyzing user consumption scenarios for the target item by surveying content related to the target item on social media. Besides the aforementioned target user characteristics, item usage scenarios, and item usage times, user consumption scenarios can also include consumption motivations and user emotions; for example, a user might purchase self-care products when feeling down, or entertainment products when feeling up. This disclosure does not specifically limit the determination of user consumption scenarios for the target item or the specific content included in those scenarios. The above content is merely illustrative of possible implementations and does not constitute an undue limitation of the invention. In practical applications, settings can be adjusted according to actual circumstances to achieve the desired functionality.

[0066] In this embodiment of the disclosure, determining user demand preferences for a target item includes: acquiring user review text corresponding to the target item; identifying item attribute dimensions in the user review text that appear more frequently than a preset threshold, as well as user opinion concerns under the item attribute dimensions and related opinions; classifying the item attribute dimensions, user opinion concerns under the item attribute dimensions, and related opinions; combining the classification results, the item attribute dimensions in the user review text, user opinion concerns under the item attribute dimensions, and related opinions to obtain review analysis results corresponding to the target item; and determining user demand preferences for the target item based on the review analysis results.

[0067] In practice, analysis can be performed on user reviews of the target item to extract users' high-frequency concerns. Specifically, a pre-established review extraction model can be used, employing the Extend-Classify-ACOS (Extrace-Classify-Aspect-Category-Opinion-Sentiment) framework to extract explicit and implicit aspects and opinions. Specifically, the review extraction model can extract explicit and implicit aspects and opinions from the review text. Explicit aspects and opinions appear directly in the text, while implicit aspects and opinions are not directly present but can be inferred from the context. For example, assuming a user's review of the target item is "Looks good, surface is smooth, but some applications take a few seconds to respond," the extracted explicit aspects are "surface" and "applications," corresponding to the opinions "good," "smooth," and "takes a few seconds to respond." The phrase "looks good" implies a "design" aspect; the corresponding opinion is not explicitly stated, but it can be inferred from the context that the response time of some applications is negative. After extracting aspects and opinions, they can be categorized. "Looks good" can be a design category, "Application" can be a software category, and "Surface" can also be a design category. "Good" and "Smooth" are positive emotions, while "Requires a few seconds to respond" is a negative emotion. The extracted aspects, categories, opinions, and emotional information can then be formatted to generate the following comment extraction results: (Null-Design-Good-Positive), (Surface-Design-Smooth-Positive), (Application-Software-Null-Negative). Figure 6 This is a schematic diagram of the user demand preference extraction results provided in the embodiments of this disclosure, such as... Figure 6As shown, the horizontal axis represents user satisfaction with the focus points, and the vertical axis represents the degree of user attention to the focus points. By constructing a coordinate system to present user needs and preferences, it is possible to more intuitively determine which aspects of the target item users pay more attention to and which aspects they are more satisfied with.

[0068] In another possible implementation, user surveys can be conducted to determine users' concerns about the target item and their satisfaction with the target item in various aspects. This disclosure does not specifically limit the method for determining user needs and preferences, but only requires that the function can be achieved.

[0069] In this embodiment of the disclosure, there may be situations where the target item has few reviews or is a newly listed item. For such items, there are few valid user review texts, making it difficult to extract user needs and preferences from them. Therefore, a similar item discovery strategy can be used to compensate for the problem of few valid user reviews for the target item. Specifically, the method further includes: in response to the absence of user review text for the target item, based on the item category and item attributes of the target item, selecting alternative items from the item candidate pool whose similarity to the target item exceeds a preset threshold; and using the user review text of the alternative items as the user review text of the target item to determine the user needs and preferences of the target item.

[0070] In practice, for target items with few or no valid user reviews, candidate items similar to the target item can be selected by recalling them from the same third-level category using item keywords. Then, the candidate items and the target item can be compared in terms of attributes. The item with the highest similarity is selected as a substitute for the target item, and the valid user reviews of the substitute item are used as user reviews of the target item for extracting key information.

[0071] In another possible implementation, a similarity search using a target item perspective image can be used to recall candidate items that are similar to the target item. Then, attribute comparison can be used to determine alternative items to the target item, and the valid user review text of the alternative items can be used as the user review text of the target item for extracting points of interest.

[0072] S103: Based on the copywriting materials of the target item in the item dimension and user dimension, as well as the pre-set placement scenarios of the target copy, generate target copy corresponding to the target item.

[0073] In this embodiment, the placement scenario can be pre-set. Here, the placement scenario can refer to different placement platforms, advertising copywriting scenarios, or live streaming scenarios. Statistical analysis of popular copywriting in different placement scenarios can determine the corresponding copywriting framework profile, such as writing elements, tone, and style. For example, in advertising copywriting scenarios, common writing elements may include addressing pain points, introducing the product, and enhancing value; in live streaming scenarios, writing elements may include opening remarks, the advantages of the event, benefits, and commonly used modifiers. The copywriting framework profile corresponding to different placement scenarios can be determined before determining the copywriting materials for the target item, or it can be determined after determining the copywriting materials for the target item but before generating the target copywriting. This embodiment does not specifically limit this.

[0074] In this embodiment of the disclosure, the author profile corresponding to the target copy can also be determined by analyzing the characteristics of the target user. Specifically, the method further includes: determining the author profile of the target copy based on the target user characteristics corresponding to the target item; and generating target copy corresponding to the target item based on the copy materials of the target item in the item dimension and user dimension, the preset placement scenario of the target copy, and the author profile.

[0075] For example, assuming the target product is infant formula, the target user characteristics could be mothers, residents of first-tier cities, and those with high purchasing power. Then, suitable author profiles can be selected from a pre-established pool of author personas, such as nutrition experts, parenting bloggers, or experienced mothers of two. The target copy generated based on these author profiles can showcase the product's selling points from the author's perspective, thus gaining greater trust from the target user group.

[0076] Another possible implementation is to directly use the profile of a portion of the target user group as the author profile. For example, for a smartphone, if the target user characteristics are men aged 20-30, urban white-collar workers, then the target user characteristics can be used as the author profile, and target copy can be generated based on this profile, achieving a similar effect. It should be noted that the above methods for determining the author profile are merely illustrative examples of possible implementations of this disclosure and do not constitute an improper limitation of the invention. In practical applications, the actual situation can be considered, and this disclosure does not impose specific limitations, but rather focuses on achieving the desired functionality.

[0077] It should be noted that the process of generating the target copy described above can be completed by an artificial intelligence model or by other algorithms. This disclosure does not specifically limit the implementation, but only requires that the function be achieved. When using an artificial intelligence model to generate the final target copy, the copy materials, placement scenarios, and author profiles determined above can be used as input data for the model, so that the model outputs target copy that meets the requirements. The training steps of the artificial intelligence model for generating the target copy are not described here, but can be set according to the specific circumstances of the actual application.

[0078] According to a second aspect of the embodiments of this disclosure, such as Figure 7 As shown, an item description generation device 700 is provided, including:

[0079] The Item Materials module 701 is used to determine the text materials of the target item at the item level; the text materials at the item level include item attribute tags and text generation templates.

[0080] User Materials Module 702 is used to determine the copywriting materials for the target item from the user perspective; the copywriting materials from the user perspective include user consumption scenarios and user needs and preferences.

[0081] The copywriting generation module 703 is used to generate target copywriting corresponding to the target item based on the copywriting materials of the target item in the item dimension and user dimension, as well as the preset placement scenario of the target copywriting.

[0082] Optionally, the item material module 701 is specifically used for:

[0083] Based on the category of the target item, determine the corresponding copywriting template from a pre-established material set; the material set should include at least one of the following: brand story, item production process, item design process, item matching method, and item usage scenario.

[0084] Optionally, the user consumption scenario includes target user characteristics, item usage scenarios, and item usage times; the user materials module 702 is specifically used for:

[0085] Cluster analysis is performed on the registration information and consumption behavior data of users who purchase the target item to determine the characteristics of the target users corresponding to the target item;

[0086] Based on feedback data from users who purchased the target item, determine the corresponding usage scenarios for the target item;

[0087] Time series analysis is performed on the transaction time data, purchase methods and environmental information associated with the target item to determine the item usage time corresponding to the target item;

[0088] Based on the characteristics of the target users, the usage scenarios of the items, and the time of use of the items, determine the user consumption scenarios of the target items.

[0089] Optionally, the user materials module 702 is specifically used for:

[0090] Acquire user review texts corresponding to the target item, identify item attribute dimensions in the user review text that appear more frequently than a preset threshold, as well as user opinion concerns and related opinions under the item attribute dimensions;

[0091] The item attribute dimensions and the user opinion focus aspects under the item attribute dimensions are classified separately from the opinions. The classification results, the item attribute dimensions in the user comment text, the user opinion focus aspects under the item attribute dimensions, and the opinions associated with the focus aspects are combined to obtain the comment analysis results corresponding to the target item.

[0092] Based on the comment analysis results, we can determine the user's focus, needs, and preferences for the target item.

[0093] Optionally, the user materials module 702 is also used for:

[0094] In response to the absence of user review text for the target item, alternative items with a similarity exceeding a preset threshold are selected from the candidate item pool based on the target item's category and attributes.

[0095] By using user reviews of alternative items as user reviews of the target item, we can determine the user needs and preferences for the target item.

[0096] Optionally, the copy generation module 703 is also used for:

[0097] Based on the characteristics of the target users corresponding to the target items, determine the author profile of the target copy;

[0098] Based on the copywriting materials for the target item in terms of both item and user dimensions, the pre-set placement scenarios for the target copywriting, and the author profile, generate target copywriting that corresponds to the target item.

[0099] According to a third aspect of the present disclosure, an electronic device for generating article text is provided, comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method provided in the first aspect of the present invention.

[0100] According to a fourth aspect of the present disclosure, a computer-readable medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method provided in the first aspect of the present invention.

[0101] According to a fifth aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method of any of the above embodiments.

[0102] Figure 8 An exemplary system architecture 800 is shown that can be applied to the article copy generation method or article copy generation apparatus implemented in this disclosure.

[0103] like Figure 8 As shown, system architecture 800 may include terminal devices 801, 802, and 803, a network 804, and a server 805. Network 804 serves as the medium for providing communication links between terminal devices 801, 802, and 803 and server 805. Network 804 may include various connection types, such as wired or wireless communication links or fiber optic cables, etc.

[0104] Users can use terminal devices 801, 802, and 803 to interact with server 805 via network 804 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 801, 802, and 803, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social media platform software, etc. (for example only).

[0105] Terminal devices 801, 802, and 803 can be various electronic devices with displays and web browsing capabilities, including but not limited to smartphones, tablets, laptops, and desktop computers.

[0106] Server 805 can be a server providing various services, such as a backend management server supporting shopping websites browsed by users using terminal devices 801, 802, and 803 (for example only). The backend management server can process received item description generation requests and return the processing results (for example only) to the terminal devices.

[0107] It should be noted that the method for generating item text provided in this embodiment of the invention is generally executed by server 805, and correspondingly, the item text generation device is generally located in server 805. The method for generating item text provided in this embodiment of the invention can also be executed by terminal devices 801, 802, and 803, and correspondingly, the item text generation device can be located in terminal devices 801, 802, and 803.

[0108] It should be understood that Figure 8 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0109] The following is for reference. Figure 9 It shows a schematic diagram of the structure of a computer system 900 suitable for implementing a terminal device of the present invention. Figure 9 The terminal device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0110] like Figure 9 As shown, the computer system 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 902 or programs loaded from storage section 908 into random access memory (RAM) 903. The RAM 903 also stores various programs and data required for the operation of the system 900. The CPU 901, ROM 902, and RAM 903 are interconnected via a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0111] The following components are connected to I / O interface 905: an input section 906 including a keyboard, mouse, etc.; an output section 907 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 908 including a hard disk, etc.; and a communication section 909 including a network interface card such as a LAN card, modem, etc. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to I / O interface 905 as needed. A removable medium 911, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 910 as needed so that computer programs read from it can be installed into storage section 908 as needed.

[0112] In particular, according to the embodiments disclosed in this invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 909, and / or installed from removable medium 911. When the computer program is executed by central processing unit (CPU) 901, it performs the functions defined above in the system of this invention.

[0113] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0114] 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 invention. 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.

[0115] The modules described in the embodiments of the present invention can be implemented in software or hardware. The described modules can also be housed in a processor. For example, a processor may include an item material module, a user material module, and a copywriting generation module. The names of these modules do not necessarily limit the module itself; for example, the item material module may also be described as "a copywriting material module for determining the target item in the item dimension."

[0116] In another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiments; or it may exist independently and not assembled into the device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the device, the device implements the following method: determining the textual material of the target item at the item level; the textual material at the item level includes item attribute tags and text generation templates; determining the textual material of the target item at the user level; the textual material at the user level includes user consumption scenarios and user needs and preferences; and generating target text corresponding to the target item based on the textual material of the target item at the item level and the user level, as well as the preset placement scenarios of the target text.

[0117] Finally, it should be noted that the above embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit it. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be determined by the protection scope of the claims.

Claims

1. A method for generating product descriptions, characterized in that, include: Determine the textual materials for the target item at the item level; the textual materials at the item level include item attribute tags and text generation templates; Determine the copywriting materials for the target item from a user perspective; the user-perspective copywriting materials include user consumption scenarios and user needs and preferences; Based on the textual materials of the target item in both the item and user dimensions, as well as the preset placement scenarios of the target text, target text corresponding to the target item is generated.

2. The method according to claim 1, characterized in that, Determine the copywriting template for the target item, including: Based on the item category of the target item, a copywriting template corresponding to the target item is determined from a pre-established material set; the material set includes at least one of the following: item production process, item design process, item matching method, and item usage scenario.

3. The method according to claim 1, characterized in that, The user consumption scenario includes target user characteristics, item usage scenarios, and item usage times; Identify the user consumption scenarios for the target item, including: Cluster analysis is performed on the registration information and consumption behavior data of users who purchase the target item to determine the target user characteristics corresponding to the target item; Based on feedback data from users who purchased the target item, determine the corresponding usage scenarios for the target item; Time series analysis is performed on the transaction time data, purchase method and environmental information associated with the target item to determine the item usage time corresponding to the target item; Based on the target user characteristics, item usage scenarios, and item usage times, the user consumption scenarios for the target item are determined.

4. The method according to claim 1, characterized in that, Determine user needs and preferences for the target item, including: Obtain user review text corresponding to the target item, and identify item attribute dimensions in the user review text that appear more frequently than a preset threshold, as well as user opinions under the item attribute dimensions; The item attribute dimensions and user opinions under the item attribute dimensions are classified respectively. The classification results, the item attribute dimensions in the user comment text, and the user opinions under the item attribute dimensions are combined to obtain the comment analysis results corresponding to the target item. Based on the results of the comment analysis, user needs and preferences for the target item are determined.

5. The method according to claim 4, characterized in that, The method further includes: In response to the absence of user review text for the target item, alternative items with a similarity exceeding a preset threshold are selected from the item candidate pool based on the item category and item attributes of the target item. The user review text of the alternative item is used as the user review text of the target item to determine the user demand preferences for the target item.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Based on the target user characteristics corresponding to the target item, determine the author profile of the target copy; Based on the textual materials of the target item in terms of both the item and user dimensions, the pre-set placement scenarios of the target text, and the author profile, target text corresponding to the target item is generated.

7. A device for generating descriptions of items, characterized in that, include: The Item Materials module is used to determine the textual materials of the target item at the item level; the textual materials at the item level include item attribute tags and text generation templates. The user materials module is used to determine the copywriting materials for the target item from a user perspective; the copywriting materials from a user perspective include user consumption scenarios and user needs and preferences. The copywriting generation module is used to generate target copywriting corresponding to the target item based on the copywriting materials of the target item in the item dimension and user dimension, as well as the preset placement scenario of the target copywriting.

8. An electronic device, characterized in that, include: One or more processors; Storage device for storing 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 as described in any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-6.

10. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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