95 results about "Search terms" patented technology

Described are systems and processes for identifying relevant media content for users in response to natural language requests. The media content may be formed as a playlist of music. Requests may be sent to various models to obtain results, such as a large language model (LLM) and a local search model. Results may be selected from one or both models. The results may be used to fetch media content and provide user interfaces with a playlist with the media content to a user that submitted the request. User interfaces may include selectable search terms suggested for the user and animations during processing of the request.

The invention relates to a memory retrieval method, a memory generation method and related devices. The method comprises the following steps: acquiring an input search word, and translating the input search word into a search word of a target language; performing memory retrieval by using the input retrieval word and the retrieval word of the target language according to the memory index to obtain a retrieval result; wherein the memory index is established according to at least one of an original and a copy of the memory information; the copy is obtained by translating the original into a target language. The method can match and support multiple languages.

1. The name of the design product: input area and display area of information search graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the partial graphical user interface of the electronic device. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used for information search. The partial graphical user interface protected by the design is used to input search instructions and display recommended search instructions and generated answer results. 7. The human-computer interaction mode of the graphical user interface: in response to the user inputting search keywords in the input bar of the design 1 front view, the graphical user interface changes from the design 1 front view to the design 1 change state view 1 to display the associated recommended search terms; in response to the user inputting search instructions in the input bar of the design 1 change state view 1, the graphical user interface changes from the design 1 change state view 1 to the design 1 change state view 2 to display the generated answer results for the instructions. In response to the user inputting search instructions in the input bar of the design 2 front view, the graphical user interface changes from the design 2 front view to the design 2 change state view to display the generated answer results for the instructions. In response to the user inputting search keywords in the input bar of the design 3 front view, the graphical user interface changes from the design 3 front view to the design 3 change state view 1 to display the associated recommended search terms; in response to the user inputting search instructions in the input bar of the design 3 change state view 1, the graphical user interface changes from the design 3 change state view 1 to the design 3 change state view 2 to display the generated answer results for the instructions. In response to the user inputting search instructions in the input bar of the design 4 front view, the graphical user interface changes from the design 4 front view to the design 4 change state view to display the generated answer results for the instructions. 8. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view of designs 1 to 4 does not constitute the part protected by the design.

A display device comprises a voice recognition unit performing voice recognition, a conversation-derived term extraction unit extracting conversation-derived terms from conversation information derived from the voice recognition, a search keyword storage storing the conversation-derived terms and search keyword in an associated manner, a search keyword extraction unit extracting search keywords from the search keyword storage using the conversation-derived terms, a material storage unit storing each page of a plurality of presentation materials, a search term of each page, and a score of the search term in an associated manner, a relevant page information extraction unit extracting a page of presentation material associated with the search keyword, a selection term extraction unit extracting the search keywords, and a selection term display unit causing the selection terms to be displayed on a display unit.

The invention relates to an audio and video platform searching method, an audio and video platform and a computer program product. The method comprises the following steps: analyzing a retrieval condition input by a user, and extracting each retrieval word in the retrieval condition; determining a retrieval priority corresponding to each retrieval word; searching is conducted from the lowest searching priority according to the searching words corresponding to the searching priorities and a preset searching strategy, if a result is not searched, the searching priorities are sequentially improved according to the sequence of the searching priorities, and searching is conducted according to the searching words corresponding to the improved searching priorities and the preset searching strategy; if a result is retrieved, the retrieval result is fed back to the user, and retrieval is ended; and if the result is not retrieved and the retrieval priority reaches the highest level, the retrieval is ended. According to the video and audio platform searching method provided by the invention, the user experience is optimized and the operation cost of the user is reduced through a link of condition priority definition, hierarchical relaxation and semantic understanding.

Embodiments of systems and methods for providing search term suggestions in a search system are disclosed. Embodiments as disclosed may utilize the sound of an original search term to locate candidate terms based on the sound of the candidate terms and the frequency of appearance of the candidate terms in the corpus of documents being searched. A set of search term suggestions can then be determined from the candidate terms and returned to the user as search term suggestions for the original search term.

One variation of a method for prioritizing content pieces within a content gallery comprises: providing a content gallery comprising a plurality of content pieces to a plurality of users, wherein each content piece from the plurality of content pieces is associated with one or more tags and one or more respective tag scores associated with the one or more tags; receiving, through a graphical user interface (GUI) of the content gallery, a search term related to a first tag; retrieving at least a first content piece and a second content piece associated with the first tag from the plurality of content pieces; and displaying, within the GUI of the content gallery, the first and second content pieces within a list of search results, wherein the first and second content pieces are prioritized in descending order of tag score associated with the first tag.

Embodiments of the present application provide a data retrieval method, device and equipment and storage medium, relating to the technical field of data analysis. The method comprises: in response to a retrieved request, determining a target search term and a request object; based on an object search term library corresponding to the request object and a pre-constructed business system search term library, performing word segmentation processing on the target search term respectively, and based on the word segmentation processing result corresponding to the business system search term library and a pre-set priority label, establishing a corresponding search index; and based on the business system corresponding to the request object, the word segmentation result obtained based on the object search term library and the search index, obtaining a search result. The embodiments of the present application solve the problem that the search result cannot meet the user's expectation when the search engine searches diversified data in the prior art.

This invention discloses an intelligent legal document retrieval method based on deep semantic matching, belonging to the field of legal document retrieval technology. It includes establishing multiple different retrieval modes; quantifying the relationship strength between keywords and legal documents based on the order and frequency of keywords corresponding to user-inputted search terms in historical search records, and updating the keyword ranking; analyzing search records and classifying search behavior into one of the retrieval modes; and ranking legal documents according to the correlation strength between user-inputted search terms and corresponding keywords for user selection. This invention establishes multiple retrieval modes for different search habits, with data not shared between modes. When initiating a search, users are distinguished into different retrieval modes, and different retrieval rules are applied to different modes to achieve rapid retrieval, further improving retrieval efficiency and enabling fast search results for users with different search habits.

The invention relates to a content recall method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a current search term input by a user, and obtaining a recent search term and user information of the user; calling a trained search term rewriting model to rewrite the current search term based on the recent search term and the user information, and outputting at least one predicted rewritten search term matched with the real search intention of the user; and performing content recall based on the at least one rewritten search word to obtain recommended content for the user. According to the method, at least one rewritten search word meeting the personalized requirement of the user can be generated, so that the interaction probability of the user on recall content obtained based on the rewritten search word can be improved.

The invention provides a website detection method and device and electronic equipment, and relates to the technical field of artificial intelligence, in particular to the technical fields of artificial intelligence, intelligent search, large models and the like. According to the specific implementation scheme, a software library is determined, the software library comprises reference software with software downloading data larger than set software downloading data, combination is carried out according to the reference software and set search terms, at least one to-be-detected sample is determined, and the to-be-detected sample at least comprises a to-be-detected website; according to the to-be-detected sample, obtaining a reference example sample during large model reasoning; a detection result of the to-be-detected sample is determined through a large model according to the to-be-detected sample and the example sample, and the detection result is used for indicating whether the to-be-detected website is a counterfeit website or not.

The present disclosure provides a large model training method, a gap evaluation method and device based on a large model, relates to the technical field of computers, especially to the technical fields of artificial intelligence, large models, data mining and the like, and can be applied to scenarios such as content search, generative search, intelligent editing of documents, intelligent assistants, virtual humans and the like. The specific implementation scheme comprises: obtaining a target search term; based on the target search term, performing content search in a specified scene of a target platform to obtain N content search results; for each content search result in the N content search results, using a target large model to obtain a quality evaluation result corresponding to the content search result; and based on the N quality evaluation results corresponding one-to-one to the N content search results, obtaining a content gap evaluation result of the target search term in the specified scene of the target platform. The present disclosure can improve the initiative of content gap evaluation, and at the same time, improve the accuracy of the content gap evaluation result.

The invention provides a search method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that in an intelligent agent-based search interface, an application list is displayed, the application list comprises a plurality of target applications, the target applications are respectively from first equipment and second equipment under the same account number, and intelligent agents run on the first equipment and the second equipment; and in response to a search operation for a target search term, displaying search results obtained by the intelligent agent in the plurality of target applications based on the target search term in the search interface. According to the technical scheme, the data in the multiple applications on the multiple devices can be searched through the intelligent agent, the search results of the multiple applications on the multiple devices are displayed to the user at a time, the user does not need to frequently switch between the multiple devices and the applications for searching, and the search efficiency can be improved.

A display device comprises a voice recognition unit performing voice recognition, a conversation-derived term extraction unit extracting conversation-derived terms from conversation information derived from the voice recognitions, a search keyword storage storing the conversation-derived terms and search keyword in an associated manner, a search keyword extraction unit extracting search keywords from the search keyword storage using the conversation-derived terms, a material storage unit storing each page of a plurality of presentation materials, a search term of each page, and a score of the search term in an associated manner, a relevant page information extraction unit extracting a page of presentation material associated with the search keyword, a selection term extraction unit extracting the search keywords, and a selection term display unit causing the selection terms to be displayed on a display unit.

This application provides a method and system for ad push based on user browsing behavior, belonging to the field of data processing technology. First, this application simultaneously acquires the user's historical search terms and current page interaction behavior, including click weights and dwell time, and constructs an intent vector representing long-term preferences and a behavior vector reflecting current interests accordingly. Next, the two vectors are combined into an observation matrix, and a QR decomposition technique is used to extract an orthogonal basis vector representing the user's independent, core intent as a reference standard. Subsequently, the grey relational coefficient and correlation degree between this reference vector and the attribute vectors of each candidate ad are calculated to quantify the degree of matching between the two. Finally, the ads with the highest correlation are selected and accurately pushed to the user. This application achieves accurate mining of the user's core intent and matching and pushing highly relevant ads in complex page environments.

The present disclosure provides a search term recognition method and device, electronic equipment and storage medium, relates to the technical field of data processing, in particular to the technical field of cloud computing and intelligent search, and includes: obtaining a search term input by a user; identifying the search term by using a first search term recognition model to obtain a search term recognition result and a search term identifier; determining whether the search term is of a first specific type according to the search term recognition result; in response to the search term being of the first specific type, matching the search term identifier in a first preset database; and in response to a successful match, obtaining a matching result corresponding to the search term and sending the matching result to the user.

The present disclosure provides an information display method and apparatus, a medium, and an electronic device. The method includes: acquiring, in response to a search operation, a search result corresponding to the search operation, the search result includes a homepage of a target account that is associated with a search term corresponding to the search operation; displaying the homepage in a visual interface synchronously, and displaying an Easter egg superimposed on a picture that is displayed in a specified region of the homepage.

This provides a method for displaying advertising content items associated with search terms, executed by a computer system that is a user terminal. [Solution] A method for displaying advertising content items includes displaying, as a search result for a search term received from a user, information about the advertising channel associated with the search term, and at least one advertising content item that connects to a detailed information page for a product or service sold through that advertising channel.

The present disclosure discloses a webpage quality evaluation method and a webpage quality evaluation model training method and device, relates to the technical field of computers, and particularly relates to the technical field of intelligent search and intelligent recommendation. The specific implementation scheme is as follows: in response to receiving a quality evaluation request of a target webpage, webpage content information of the target webpage and a target search term used to search for the target webpage are obtained. According to the webpage content information and the target search term, relevance information of the target search term and the target webpage is obtained. According to the relevance information and the webpage content information, a webpage quality evaluation result is obtained.

The application provides a search recommendation method based on a weighted directed reasoning tree set generated by reasoning track generation, and relates to the technical field of search recommendation. The method comprises the following steps: collecting historical text data under a specific business scenario according to user demand and extracting semantic information, using the extracted semantic information to construct a weighted directed reasoning tree set with semantic information and containing complete reasoning tracks; using a vector space mapping and reasoning path fusion method to convert the weighted directed reasoning trees in the weighted directed reasoning tree set into vector representations; using a large model as a strategy model, using a large model-based reasoning track generation method to generate complete reasoning paths, constructing a preference data set, and using a direct preference optimization algorithm to optimize the strategy model; obtaining a search term provided by a user and inputting the search term into the optimized strategy model to obtain a final recommendation result of the search term, so as to provide more personalized and high-quality search results and recommendation contents for the user.

Methods and apparatuses for automatically generating and displaying clustered search results and contextual recommendations are described. While a user is making edits to an electronic document or within an application, a search system may identify a set of search terms based on information entered by the user and / or the locations of the information entered by the user within the electronic document or application and then generate and display search results based on the set of search terms. The search system may cluster search result documents that have a degree of similarity and display multiple clusters of search results to the user. The search system may allow users to specify personalized keyword links and may return a personalized keyword link as a search result for a given search query even if a document or resource referenced by the keyword link has not been indexed or crawled.

The invention provides a traffic anti-cheating method and device, equipment and a medium, and relates to the technical field of computers, in particular to a big data analysis and graph mining technology. According to the specific implementation scheme, historical display requests of different users for brand advertisements are obtained, and the historical display requests comprise user information, brand search terms and request time; a brand search term in the historical display request is randomly mapped into a mapping search term, a current display request based on the mapping search term is obtained, and the mapping search term comprises the brand search term; constructing a search behavior relation graph of the user according to the current display request; and mining a cheating community from the search behavior relation graph by using a graph mining algorithm, and intercepting a presentation request initiated by a user again in the cheating community.

A computing device receives, via a user interface, a drawing input directed to a dataset of time series data. The computing device converts the drawing input into a set of search terms and executes a query against a search index for the dataset using the set of search terms to retrieve a plurality of labeled trend events. Each of the labeled trend events corresponds to a respective portion of a respective line chart of a set of line charts representing the time series data and has a respective chart identifier. The computing device generates a first subset of line charts according to the retrieved plurality of labeled trend events. The computing device displays, on the user interface, one or more line charts of the first subset of line charts.

This application discloses a search method and related apparatus. Based on acquired search terms, a search filtering tool is displayed, providing filter items that match the search terms. These filter items reflect the user's search preferences. Then, a target filter value is set to obtain the final degree of search preference. Based on the search terms and the target filter value, a target search result matching the user's search preferences is determined and provided to the user. This solution significantly narrows the search scope, greatly reducing the user's workload in judging search results, providing more accurate results, reducing time consumption, and improving search efficiency and experience.

The embodiment of the invention provides a content recommendation method and a recommendation model pre-training method. The content recommendation method comprises the steps of obtaining a search term; the search terms are input into a target recommendation model, target recommendation content is obtained, and the target recommendation model is obtained by training a pre-training model based on the similarity between the sample search terms and the sample content; the pre-training model is obtained by training a predicted partial order relationship of each pre-training content generated based on a pre-training search word in a pre-training group, and the pre-training group is labeled with a label partial order relationship of each pre-training content. Model pre-training is carried out by utilizing the labeled label partial order relation, the selection preference of the pre-training model for the content is enhanced, the pre-training model is trained through the similarity between the sample search word and the sample content, the final target recommendation model can understand the deep association between the user search intention and the content, and the user search intention and the content can be recommended. And the result can be output according to the content selection preference, so that the accuracy of the recommended content is improved, and user requirements are better met.

This application relates to the field of computer technology, specifically to a music retrieval method, apparatus, and electronic device. The method involves extracting slots from target instruction text to obtain target slot terms. Then, based on the extracted target slot terms, music metadata is retrieved from a music structure database to obtain music metadata retrieval results. The music metadata retrieval results include standard search terms and aliases associated with candidate music under N music attributes. Based on the search terms in the music metadata retrieval results, the audio data of the candidate music is retrieved from the music database. The method provided in this application avoids the problem of failing to retrieve corresponding music because the search terms associated with candidate music under N music attributes effectively expand the vocabulary under the same music attribute. This is because the description in the instruction text differs from the search terms maintained in the music database, but actually refer to the same entity.

The present disclosure presents an apparatus for displaying a recommended search term on a web page. The apparatus according to the present disclosure comprises: one or more processors; and one or more memories in which instructions to be executed by the one or more processors are stored, wherein, when the instructions are executed, the one or more processors can acquire a user access request for a first web page of an e-commerce service, determine one or more recommended search terms for the user, generate web page information to be used to display the first web page including at least one of the one or more recommended search terms, and transmit the web page information to a terminal of the user.