27results about How to "Improve click-through rate" patented technology

The invention discloses a precise advertisement putting optimization method and system, and relates to the technical field of advertisement putting, and the method comprises the following steps: collecting and recording key parameter information of different data sources in a merging process in real time, providing basic data for the subsequent anomaly detection, and providing an optimization result for guaranteeing the comprehensiveness of the data; recording each step of operation in all merging processes; and carrying out anomaly analysis on the key parameter information subjected to the standardized processing, and identifying abnormal data generated in the merging process by analyzing multi-dimensional information. According to the invention, by monitoring the cross-session persistence information and the platform situation consistency information in real time, the system can effectively prevent the problem of data merging errors or segmentation, improve the accuracy of user portraits, and accurately push advertisement contents, thereby improving the click rate and the conversion rate. A multi-level anomaly detection and grading processing mechanism ensures that risks are timely handled, the safety of data integration and the stability of advertisement putting are improved, and the data integrity is guaranteed.

The invention discloses an advertisement pushing method and device based on artificial intelligence and a medium, and relates to the technical field of advertisement pushing, and the method comprises the steps: collecting data information of a user, carrying out the preprocessing operation, and dividing the data into a scene data set and a user interest data set; constructing a scene recognition model, and training the scene recognition model through the scene data set; constructing a user interest model, and training the user interest model through the user interest data set; analyzing the advertisement content, extracting an advertisement keyword, defining a scene keyword for the scene according to the current scene of the user, and matching and pushing the scene keyword; and carrying out effect evaluation and optimization on the pushed advertisement. According to the method, advertisements related to the current scene can be pushed to the user through scene perception advertisement pushing, so that the click rate and the conversion rate of the advertisements are improved, the satisfaction degree of the user is improved, and the loyalty of the user to the brand is enhanced.

The invention discloses a commodity recommendation system based on artificial intelligence, and the system comprises a user behavior tracking module which is used for collecting and processing the multi-source behavior data of a user; the commodity feature extraction and fusion module is used for acquiring and analyzing multi-modal information of commodities; the dynamic updating module is used for adjusting a recommendation list in real time according to instant user behaviors and long-term preferences in combination with short-term memory and long-term memory; the situation awareness module takes external factors such as time, place and weather as input; the explanatory enhancement module is used for adding an explanatory layer for a black box model by using an explanatory machine learning model; the personalized sorting optimization module is used for dynamically adjusting the feature weight and improving the click rate and the conversion rate; and the privacy protection module is used for protecting user privacy by adopting a differential privacy technology. According to the commodity recommendation system and method provided by the invention, many problems existing in a traditional recommendation system are overcome, and a more efficient, more intelligent and safer commodity recommendation service is realized.

The invention relates to the technical field of media traffic distribution, and provides a resource niche traffic distribution method, device and equipment, a readable storage medium and a computer program product. The method comprises the steps of obtaining a traffic estimation value of a target time period according to historical traffic decomposition data and a traffic estimation model; according to a target user preference factor corresponding to the target time period and a target traffic distribution proportion between the operation plans, under the condition that a user click rate threshold and a traffic contract display amount are satisfied, distributing the traffic estimated value of the target time period, and obtaining a first traffic distribution target value of each type of content in the target time period; wherein different operation plans correspond to different types of contents; and for any type of content, determining a plurality of resource nichs of any type of content, and obtaining a second traffic distribution target value of the plurality of resource nichs in the target time period according to the first traffic distribution value of any type of content in the target time period and the traffic matching model. By adopting the method, the flow utilization rate and the user click rate can be improved.

The invention relates to the technical field of Internet, in particular to a multimedia content display method and device, electronic equipment and a storage medium, and aims to improve the click rate of multimedia content. The method comprises the following steps: presenting a content browsing interface; the content browsing interface is used for displaying the recommended information flow to the target object; in response to a content switching operation for the content browsing interface, presenting exclusive promotion content generated based on the target multimedia content carried by the information stream in the content browsing interface, and skipping to the exclusive promotion content and playing a content segment corresponding to the exclusive key information of the target level; the exclusive promotion content is used for describing different levels of exclusive key information matched with the target object; each piece of exclusive key information is comprehensively generated according to the original key information in the target multimedia content and the content preference information of the target object; the target level is determined according to the interestingness of the target object to the information flow.

The invention discloses a commodity module sorting method and device, electronic equipment and a storage medium, when a commodity module sorting request sent by a user is received, user feature data and a commodity module candidate set are obtained, and for each candidate commodity module in the commodity module candidate set, the commodity module sorting request is sent to the user; estimating a commodity conversion rate corresponding to each commodity in a commodity set of the candidate commodity module based on the commodity module sorting model and the user feature data, and selecting a target commodity conversion rate with a high conversion rate to determine a corresponding target commodity; and estimating the module conversion rate of the candidate commodity module to which each target commodity belongs, selecting the target module conversion rate with high conversion rate to determine the corresponding target commodity module, and outputting each target commodity module and the target commodity contained in each target commodity module. According to the invention, the commodity module and the commodity row preferred by the user can be displayed at the front position, and the accuracy of obtaining the commodity preferred by the user is improved.

The embodiment of the invention provides a method for displaying a service list and electronic equipment, and the method comprises the steps: receiving a first request message sent by first terminal equipment, the first request message comprises a first search term, and the equipment type and / or use scene of the first terminal equipment, the first request message is used for requesting to obtain a target service list matched with a first search term, and the equipment type and / or use scene of the first terminal equipment; determining a target service list from M service lists according to the first search term and the device type and / or usage scenario of the first terminal device, M being a positive integer greater than or equal to 1; and sending the target service list to a first terminal device, so that the first terminal device displays the target service list. Through the method and the electronic equipment, the service list acquired and displayed by the terminal equipment can be matched with the type and / or the use scene of the terminal equipment, the actual demand of a user is better met, and the click rate of the user is higher.

The present disclosure provides a music resource recommendation method, program product and electronic device, and relates to the technical field of computers. The method comprises the following steps: obtaining associated corpus data of a target music resource, wherein the associated corpus data comprises text information related to the target music resource; inputting the associated corpus data into a large language model, performing semantic reasoning on the associated corpus data by the large language model, and generating an explanatory text corresponding to the target music resource, wherein the explanatory text is used to describe the content characteristics of the target music resource; encoding the explanatory text into a semantic vector; calculating the interest matching degree between the target music resource and a user based on the semantic vector and a historical behavior sequence of the user by using a recommendation model; determining target recommendation content recommended to the user according to the interest matching degree, and displaying the explanatory text corresponding to the target recommendation content as a recommendation reason. In this way, the cognitive load of the user can be reduced, and the recommendation effect of the music resource can be improved.

The application provides an online sales click rate estimation method for agricultural products. The method of the application comprises the following steps: obtaining agricultural product sales related data, including product attributes, user behaviors, context information, etc., and cleaning and preprocessing the data; using a GBDT model to process the features, which can flexibly process various types of data without one-hot encoding processing of discrete features, introducing an Input-aware strategy to refine the weight vector and embedding vector of each feature for different instances, adaptively learning the influence of each input vector on feature representation, and adding a fully connected network to capture high-order features in a nonlinear manner, so that the method has better expression and generalization ability for complex structure data features.

The present invention relates to the technical field of online marketing, and discloses a marketing method for online sales, comprising: obtaining user's favorite products, dividing a day into multiple time periods, and calculating the user's historical average browsing time in each time period; judging in real time whether the user has opened a shopping software, and if the user has opened it, obtaining the current time period and calculating the total number and total time of the user's browsed products to determine the browsing time of a single product; recommending a specific number of products from a set of intended products according to the user's browsing time and average browsing time of a single product in the current time period; obtaining the user's browsing status of the recommended products in real time, and adjusting subsequent recommended products according to the user's browsing feedback.

The present application provides a personalized advertising push method and related devices based on product data. Obtain product data of the product to be promoted, collect basic information and sales data of the product to be promoted, and provide basic data for the subsequent recommendation algorithm. By identifying similar products, more choices can be provided to users to avoid single recommendations. At the same time, collecting similar product data can help the algorithm analyze user needs more accurately. The weight of each similar product is calculated by analyzing similar product data, which reflects the relevance of each similar product to the user's interests. Sort by weight coefficient, and select similar products corresponding to the first k weight coefficients as recommended products. This ensures the relevance and effectiveness of the recommended products. By displaying advertising information, users can easily obtain the latest recommendation information, improve the reach of advertising and user experience.

The invention relates to a method for dynamically generating a mobile banking activity set page, which comprises the following steps of: constructing a tree structure in which a root node represents an activity set page and a first-level node represents a service category, and dynamically generating child nodes according to marketing activity data, a DIEN model comprising an embedded layer, an interest extraction layer, an interest evolution layer and a prediction layer is used to predict the interestingness of the user to different marketing activities, and user interest prediction is realized; according to the method, the user geographic position, preference setting and interest prediction value are integrated, child node weights are calculated, a descending sorting algorithm is used for sorting the child node weights, activity set pages are dynamically arranged according to the sorting result, and personalized recommendation and efficient marketing are achieved. Through modular design and real-time dynamic updating, the system efficiency and the user experience are improved.

The invention discloses a recommendation method based on a parallel graph neural network in the technical field of intelligent recommendation, and the method comprises the steps: 1, distributing an initial embedding vector for each user, item and relation, and enabling the initial vector to be 64-dimensional; 2, inputting the user vector and the item vector in the step 1 into a lightweight graph convolution module to obtain the user vector and the item vector; and 3, inputting the user and item vectors output in the step 2 and the initialized relation and item vectors in the step 1 into an attention and graph convolutional network module to obtain the user and item vectors of the stage. And 4, repeating the steps 2 and 3 for L times to obtain a plurality of user and item vectors, and respectively weighting and combining the user and item vectors to obtain the user and item vectors of the stage. And 5, calculating the item and the user vector obtained in the step 4 to obtain the item and the user vector of the final stage. And 6, performing dot product operation on the user and item vectors obtained in the step 5 to obtain an interaction probability of the user to the item, and returning a recommendation result. The scheme is used for improving the recommendation quality and optimizing the user experience.

The invention discloses an automatic movie short video explanation editing method and device, a server and a storage medium, and relates to the field of multimedia video editing, and the method comprises the steps: analyzing each plot content of an original movie video; performing shot fragmentation on the original movie video, extracting shot information, and marking starting and ending timestamps of each shot; matching the preset commentary with the shot information in the film; based on a text-to-speech model, converting the matched commentary into a corresponding commentary audio, synchronizing the corresponding commentary audio with a corresponding movie shot, and providing background commentary for the short video; and dynamically planning the rhythm of lens switching based on the identified plot content, the lens matching information and the synchronized explanation audio, and intelligently inserting a transition special effect to assemble the mixed video. According to the invention, by fusing multi-modal feature analysis and intelligent editing logic generation, efficient and high-quality video automatic production is realized, and the manufacturing cost is reduced while the content attraction is improved.

The embodiments of the present disclosure provide a method, medium, device and computing device for determining a cover image, the method comprising: extracting audio information contained in a target video, determining the correlation between an audio segment of a corresponding time contained in the audio information and video attribute information of the target video, determining the wonderfulness of the audio segment according to the sound attribute information of the audio information, and determining the cover image of the target video according to the wonderfulness and the correlation. The present disclosure can obtain a more attractive cover image, thereby improving the click-through rate of the video; and the processing efficiency is higher when determining the cover image.

The invention discloses a hotel management system and method, and relates to the technical field of hotel management, and the system comprises a shopping mall module which is used for displaying hotel information, providing an online reservation function, and generating a transaction order; the ticket module is used for generating ticket code information according to the transaction order; the database module is used for storing hotel information and transaction information; the PMS module is used for managing and maintaining hotel information and transaction information; and the data encryption module is used for ensuring the security of the data through an encryption algorithm and an access control method. According to the technical scheme provided by the invention, diversified support for hotel room coupon types can be realized, flexible inventory management and price strategies are provided, room coupon selling and reservation requirements of different sellers are met through a customized scheme, and the application value is relatively high.

The invention discloses a method and device for converting a text message into an interactive message, equipment and a medium, and the method comprises the steps that a management platform carries out the related configuration of a text recognition process and text extraction, transmits the related configuration information to gateway service, carries out the enabling processing of a to-be-converted 5G text message at a gateway side, packages the to-be-converted 5G text message into a corresponding suggested operation, and carries out the corresponding suggested operation. Based on the extracted key content link, a corresponding suspension menu button is packaged; after the text message is processed, micro-service data is transmitted back to the gateway side, and the gateway side modifies a 5G message body and a message type part in a request body and forwards the request to the MaaP side for message issuing; wherein when the text content is identified and processed, the text is preprocessed, whether the length of the text exceeds the limit or not is judged, and if not, the message issuing information is identified and extracted according to the configuration data. According to the invention, abundant message forms are realized, interactive buttons are provided, the dialing complexity is reduced, and the user experience is improved.

The invention discloses an intelligent advertisement putting method in a game, belongs to the technical field of game development, and aims to solve the problem that an existing advertisement putting system in the game reduces the practicability of advertisements. The intelligent personalized advertisement recommendation mode has the technical effects that the intelligent personalized advertisement recommendation mode constructs accurate user multi-aspect feature description and personalized modeling by utilizing user behavior data, more accurate personalized recommendation is carried out, it is ensured that advertisements seen by users better meet user interests and requirements, and the click rate and the conversion rate of the advertisements are improved; a real-time data analysis and feedback mechanism is introduced, an advertisement putting strategy is adjusted in real time, a response can be made rapidly when user behaviors change, and the real-time performance enables the intelligent advertisement putting system to be more intelligent and flexible.

The present invention provides a method for displaying live broadcast information, a method for managing live broadcast information, a device, an electronic device and a storage medium, by displaying a live broadcast room page, the live broadcast room page includes a live broadcast screen and an information card display area, the information card display area displays an information card in an information card set of a live broadcast product in the live broadcast room, the information card set includes at least two information cards, each information card is used to display product information of the live broadcast product in a description dimension; in response to an information card switching event, another information card in the information card set is switched and displayed in the information card display area. The present disclosure can realize efficient transparent transmission of live broadcast content, effectively improve the live broadcast effect, enable viewers to quickly learn about the live broadcast content, and enhance the audience experience.

The present application relates to a personalized advertisement intelligent design method and system based on big data user portrait, and relates to the technical field of advertisement intelligent design, the present application can accurately capture the aesthetic preference and value proposition of the audience by constructing a three-dimensional dynamic semantic space and introducing a cross-attention mechanism, so that the advertisement content is highly resonant with individual audience in aesthetic style, significantly improving the click rate and conversion rate of the advertisement, by embedding a cultural constraint operator in the generation model, the problem of cultural offense and expression stiffness that easily occurs in the cross-regional propagation of AI advertisement is effectively solved, the brand kernel is converted into a prompt word constraint by using emotional transfer learning, ensuring that the narrative tone of the AI generated content is highly consistent with the brand values, and the brand recognition is strengthened, a high-precision geometric constraint network is introduced through a double-path rendering architecture, completely solving the illusion and deformation problem of generative AI when processing complex product subjects.

This invention discloses a method for analyzing and processing advertising push traffic data based on digital twins, belonging to the field of advertising push technology. This method collects data to construct a feature library containing three types of features, uses digital twins to build virtual scenes and simulation systems, and simultaneously constructs a multi-level engine that dynamically adjusts thresholds. Simulated data is generated, and candidate solutions are selected. After trial testing, verification, and optimization, the results are output, improving the accuracy, efficiency, and compliance of advertising push while reducing cost risks. This invention uses digital twin technology to construct virtual scenes and traffic simulation systems, combined with the real-time adjustment capabilities of a multi-level dynamic engine, to capture dynamic scenarios such as traffic fluctuations. Through threshold and weight adjustments, it avoids traffic loss, improves click-through rate and conversion efficiency, and relies on multi-dimensional simulation, screening, and trial testing to achieve precise resource allocation and compliant adaptation. Through end-to-end optimization, it improves strategy adaptability and ROI, overcomes traditional limitations, and provides an efficient and intelligent end-to-end advertising solution.

The invention belongs to the field of artificial intelligence, and particularly relates to an intelligent hosting method for the whole process of e-commerce operation. The method comprises the following steps: establishing a global unified user identity identification system; user behavior event streams from an application program, an applet and a webpage end are collected in real time and processed in a standardized mode, and the user behavior event streams comprise page browsing, commodity clicking, shopping cart adding, staying duration and rolling depth; and performing timestamp alignment and intention semantic fusion on multi-channel user behavior events based on the global unified user identity identification system to construct a user intention evolution sequence. According to the method, a global unified user identity identification system is constructed, so that the problem of cross-channel user identity splitting is thoroughly solved, and seamless collection of behaviors in anonymous and real-name states is realized; according to the method, an intention semantic enhancement mechanism is introduced, the original behavior event is converted into an enhancement event rich in commodity knowledge and context semantics, and the depth and accuracy of user intention characterization are remarkably improved.

This disclosure provides a control method, apparatus, and electronic device for a display interface, relating to the field of big data intelligent analysis technology. The method includes: determining a first clicked content in the current display interface of a terminal device; determining the click probabilities of the remaining content to be displayed, based on the conditional probabilities among the various content to be displayed, given that the first content has been clicked; determining a target display content based on the click probabilities of the remaining content to be displayed; and updating the content of the display interface on the terminal device using the target display content. Therefore, based on the clicked content in the display interfaces of different terminal devices, content with a higher click probability can be selected from the content to be displayed to update the content of the display interface. This allows for updating different display content for different terminal devices, improving both the utilization rate of the display interface and the click-through rate of the updated display content.

The embodiment of the application discloses a search result display method, a terminal, a server, a medium and a program product, and belongs to the technical field of human-computer interaction. The method comprises the following steps: receiving a search operation in a search word input interface; displaying an interactive animation corresponding to a search word in the search word input interface based on the search word indicated by the search operation; displaying an interactive effect between the interactive animation and a search result in a search result display interface; and displaying the search result in the search result display interface. The interactive animation is used to transit from the search word input interface to the search result display interface, and then the interactive effect between the interactive animation and the search result is displayed, so as to lead to the search result corresponding to the search word, which can make the combination of the input of the search word and the display of the search result more natural, enrich the display mode of the search result, improve the interestingness of the search function, and then the click rate of the search result can be improved.

The present invention relates to the field of information processing technology, and in particular to a method for intelligently pushing information data based on a customized window. The method comprises the following steps: obtaining information platform behavior log record data and performing behavior mining analysis to obtain information platform user browsing behavior data and information platform user search behavior data; constructing a user behavior preference matrix for the information platform user browsing behavior data and the information platform user search behavior data to obtain an information platform user behavior preference feature matrix; performing browsing information screening processing and context association perception analysis on the information platform behavior log record data to obtain an information context association perception sequence data set; performing information push rule mining analysis and intelligent matching push processing based on the information platform user behavior preference feature matrix and the information context association perception sequence data set to obtain an information intelligent matching push sequence set. The present invention can realize the intelligent push of information content that meets user preference requirements.

The invention relates to a vehicle-mounted voice control method, electronic equipment and a vehicle, is applied to the electronic equipment, and relates to the technical field of vehicle control. The vehicle-mounted voice control method comprises the following steps: when a user uses a voice interaction function in a vehicle, performing intention prediction through multi-modal fusion data obtained by performing data fusion on multi-modal data including user-related data and vehicle-related data, and a constructed dynamic user portrait; the voice instruction recommendation list is generated based on the obtained potential intention set and the preset recommendation strategy, the instruction can be intelligently recommended according to the user preference and the driving environment, the recommendation individuation degree and the scene fitting degree are improved, and therefore the click rate of the voice instruction and the user interaction efficiency are improved.

The present invention relates to the technical field of commercial image management, and in particular to a periodically updated image management system and management method. The management system comprises an image library, an acquisition module, a feature extraction module, a feature matching module, a determination module and an update module. The feature extraction module is configured to obtain image features of display images of similar commodities; the feature matching module is configured to determine a candidate image set of a current period from the image library according to the number of clicks and image features of display images of similar commodities in the previous period; the determination module is configured to determine display images of commodities in the current period from the candidate image set based on the number of collections of commodities in the previous period; by accurately matching multiple features in the image library, the candidate image that best meets the current browsing trend can be selected from the image library, and the similarity is further selected for the misrecognition of the image, thereby effectively improving the image display effect under the premise of ensuring the discernibility of the displayed image.