12results about How to "Improve click-through rate" patented technology

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 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 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 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 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 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.