215 results about "Search words" patented technology

Disclosed in the present invention is a knowledge graph-based unified fault search method for a specialized vehicle device. The method comprises: acquiring device maintenance related data, and taking a device as a core to establish association relationships between the device maintenance related data; acquiring a fault report, and parsing the fault report to obtain parsing result data; constructing a device fault graph on the basis of the device maintenance related data and the parsing result data; integrating the device fault graph into a knowledge graph platform; receiving a search term entered by a current user in a search box, acquiring search results corresponding to the search term, and displaying the search results on a search result page, wherein the search results comprise a result list, data classification statistics, search result sorting, a knowledge cloud picture, and associated recommendations; and providing in the search result page an operation entry for knowledge exploration, and viewing related knowledge exploration of the current knowledge by the user by triggering the operation entry for knowledge exploration. The method solves the problem in the prior art that the search results are not accurate enough.

The invention discloses a position searching method and device based on implicit intention recognition, and relates to the technical field of information retrieval and intelligent recommendation. The method comprises the following steps: sampling from a historical log and constructing prompt words, and performing weighted voting labeling on keywords and resume pairs by utilizing a plurality of large language models to generate an intention recognition training sample; and the cue word is iteratively optimized through manual evaluation, so that the labeling accuracy is ensured. And training an intention recognition model by using the samples. In the online search stage, structural features of search terms and resumes of a user are extracted and input into the pre-training model to recognize the implicit job hunting intention of the pre-training model. Finally, personalized retrieval conditions are dynamically generated according to the intention recognition result, and related positions are recalled and sorted from the position database. According to the method, the accuracy and the individuation degree of position searching are effectively improved, and the user experience of job seekers is remarkably improved.

The invention discloses a search intention recognition method and device, equipment and a storage medium, and relates to the technical field of reinforcement learning, and the method comprises the following steps: generating training data based on an original corpus; performing supervision fine tuning processing on the lightweight language model based on the training data to obtain a fine tuning trained lightweight language model; performing strategy optimization on the lightweight language model subjected to fine tuning training through an improved GRPO reinforcement learning algorithm to obtain a lightweight language model subjected to reinforcement training; constructing a double-model hybrid architecture based on a short thinking chain model and a thinking chain-free model in the lightweight language model subjected to enhanced training; and outputting a final sequence of the related documents of the search terms of the user through the double-model hybrid architecture. According to the technical scheme of lightweight language model fine tuning, reinforcement learning optimization and double-model hybrid reasoning, the target search scene recognition accuracy is improved, the real-time response speed is high, and training time consumption and reasoning resource requirements are reduced.

The invention provides an article recommendation method and device, and the method comprises the steps: determining a target word from a search word set; obtaining external platform domain data corresponding to the target word, matching the external platform domain data with the internal platform domain data, and determining the matching similarity between the external platform domain data and the internal platform domain data; and taking the internal platform domain data and the external platform domain data of which the matching similarity exceeds a first threshold value as target internal platform domain data and target external platform domain data, and constructing product word data based on the target internal platform domain data and the target external platform domain data so as to perform article recommendation based on the product word data. According to the embodiment, the hotspot trend can be responded in time, and the cold start period of the article related to the hotspot trend is shortened, so that the timeliness and accuracy of article recommendation are improved, and the user experience is improved.

The invention discloses an advertisement design display system and method based on big data. The system comprises a data acquisition layer for acquiring multi-source data sources; the semantic understanding layer is used for generating semantic vectors of search words and advertising words based on a BERT-Chine pre-training language model, calculating a quantitative semantic matching degree through cosine similarity, performing deep semantic understanding and synonym equivalence matching, performing intention classification on features through an XGBoost gradient promotion decision tree, and judging that a user is in an instant purchase, decision period or interest exploration state; the scene sensing layer is used for dynamically recognizing a scene where a user is located by using an LSTM-CRF time sequence model; the feature recombination layer is used for extracting explicit features and mining implicit correlation features; the deep matching layer is used for generating a comprehensive matching score of a 0-1 interval by fusing explicit features and implicit association features in combination with multi-task learning, and performing screening according to the comprehensive matching score; the value measurement layer is used for quantifying contributions of different advertisement contacts to final conversion; and the execution layer is used for carrying out advertisement rendering and putting.

A method, an apparatus, and a computer-readable storage medium for searching of electronic documents. A search query is encoded to form a search vector. The search query includes at least one search term and seeks information within a plurality of electronic documents. A knowledge graph structure is generated using at least one search term. The search term is associated with at least another term in a plurality of terms in the knowledge graph structure. The search query is modified using the other term to generate a modified search vector. A response to the search query is generated based on one or more responsive document vectors retrieved from the plurality of electronic documents and that are semantically similar to the modified search vector.

The objective of the present disclosure is to search for content in a content streaming system, and an operating method of a server may comprise the steps of: acquiring a search word; using a language model trained on the basis of synopsis information included in metadata of content items, so as to determine a first vector corresponding to the search word; determining similarity between the search word and a first content item on the basis of the first vector corresponding to the search word and a second vector of the first content item; and providing a content search list including information about at least one content item including the first content item selected on the basis of the similarity.

A method for voice-based interaction between a user (e.g., a shopper) and online stores includes capturing an initial voice input from a user and converting the voice input to text. The text is analyzed and initial search terms are created such as product name, product description, product category, product brand name, product manufacturer and retailer. One or more searches are conducted using the initial search terms to identify one or more retailers meeting the search terms. One or more identified online retailers are accessed and searches are executed at the one or more identified retailers, generating search results. The identified online retailers have a user interface allowing purchases of the identified product or item. The search results are returned to the user.

The invention provides a question answering method and device based on a large model, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that at least one target plug-in is determined from a plurality of candidate plug-ins based on input questions and search words of the candidate plug-ins associated with a large model, and the search word of each candidate plug-in is used for indicating question features used for requesting corresponding services; the matching degree between the search word of the at least one target plug-in and the question meets a matching condition; based on the at least one target plug-in, calling a service interface of a service corresponding to the at least one target plug-in, and based on the service interface corresponding to the at least one target plug-in, obtaining service data from a server side corresponding to the at least one target plug-in; and processing the service data corresponding to the at least one target plug-in through the large model to obtain an answer to the question, and outputting the answer. According to the method, the problem processing efficiency is improved on the basis of ensuring that the large model can accurately process the problem.

To improve usability of a user.SOLUTION: The document information includes a document display name of a document file corresponding to a search condition, a list of detected text sentences including a search word and characters before and after the search word in a text file, most frequent image data corresponding to a page in which the search word is detected most frequently, and a jump button that can be linked to a document address.SELECTED DRAWING: Figure 10

A search engine of a data exchange may receive a query comprising a set of search terms, retrieve a plurality of data listings based on the search terms of the query, compare a first embedding generated by a large language model (LLM) from the search query to second embeddings generated by the LLM for each of the plurality of data listings to determine a respective relevance for each of the plurality of data listings to the search query, and rank the plurality of data listings based on the respective relevance for each of the plurality of data listings to the search query.

A system generates domain-expert agents for a particular domain. The system generates a hierarchy of topics for the domain by forming structured query inputs and requesting a machine learning-based language model to produce topics and associated sets of search terms. A knowledge store is built for the domain by identifying, for each topic, facts represented symbolically and / or in natural language. For at least one topic, programs comprising instructions for executing domain-specific procedures are generated and stored as symbolic and / or natural language programs. The knowledge store is evaluated to determine an expertise level for a domain-expert agent. If the knowledge store meets a threshold of knowledge, a deployment package is created comprising the knowledge store, and the domain-expert agent is deployed. The deployed agent utilizes the knowledge store together with a machine learning language model to address and solve problems specific to the domain.

To improve usability of a user.SOLUTION: When a search condition including at least one search word is supplied from a user terminal, searching a local government document database for a document disclosed by a local government, searching for the search word in the text file corresponding to a document ID matching the search condition, and generating result image data for displaying a list of document information in which a document display name including the search word, a detected text sentence including the search word and characters before and after the search word in the text file, and a document link button including a link to the document file are displayed in one frame.SELECTED DRAWING: Figure 1

The application discloses an entity classification method and an electronic device, and relates to the technical field of natural language processing, and comprises the following steps: an electronic device acquires input content in a human-computer interaction scene. The electronic device performs entity recognition on the input content, and acquires an entity category corresponding to an entity in the input content. If it is found that one entity corresponds to multiple entity categories, the electronic device determines one target entity category corresponding to the entity based on the probability that the entity belongs to each entity category. The electronic device performs a response to the input content based on the target entity category of the entity. The probability that the entity belongs to the entity category comprises a first probability representing the appearance of the entity in the entity category in search results obtained by searching a search engine with the entity as a search word, and / or a second probability representing the response of the entity in the entity category in user feedback data and the selection of the entity by a user. The target entity category determined based on the first probability and / or the second probability is more accurate, and the entity classification is more accurate.

An information processing device that assists in recalling disease names using the results of analysis of examination images. [Solution] An information processing device is provided, comprising: an analysis unit that obtains the results of analyzing an examination image; a first output unit that outputs a search term using a string of words that combines the location of the abnormal finding obtained from the analysis results of the analysis unit and at least one of the content or size of the abnormal finding; a search unit that searches a database for information on disease names or disease names using the search term output by the first output unit; and a presentation unit that presents disease names or disease names based on the search results from the search unit.

1. The name of the design product: the display area of the information search graphical user interface of the 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 in the electronic device. 4. The picture or photo that best shows the design points: design 1 change state diagram 1. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used to search for information. The partial graphical user interface protected by the design is used to display search information and recommend related search words. 7. The human-computer interaction mode of the graphical user interface: in response to the user touching or clicking the page content of the main view of design 1, the graphical user interface changes from design 1 main view to design 1 change state diagram 1 to display the selected page content and related recommended words; in response to the user touching or clicking a recommended word in design 1 change state diagram 1, the graphical user interface changes from design 1 change state diagram 1 to design 1 change state diagram 2 to display the search results of the recommended word. In response to the user touching or clicking the page content of the main view of design 2, the graphical user interface changes from design 2 main view to design 2 change state diagram 1 to display the selected page content and related recommended words; in response to the user touching or clicking a recommended word in design 2 change state diagram 1, the graphical user interface changes from design 2 change state diagram 1 to design 2 change state diagram 2 to display the search results of the recommended word. 8. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view of design 1 to design 2 does not constitute the part protected by the design.

The application discloses a resource putting word mining method and device, electronic equipment and a storage medium, relates to the technical field of computers, and particularly relates to the field of artificial intelligence such as deep learning and large models. The specific implementation scheme is as follows: a candidate historical search word is acquired, and the candidate historical search word is clustered to obtain a candidate search word set; a plurality of search word samples are extracted from the candidate search word set; a large model is used to perform intent determination on the search word samples, and an intent determination result of the search word samples is determined; wherein the intent determination result is used to indicate whether the search word samples meet a resource putting intent of a target product; the candidate search word set is filtered according to the intent determination results of the plurality of search word samples, and a retained target search word set is obtained; and a target putting word is determined from the target search word set.

The present disclosure relates to a server and a push method of recommended content, and relates to the technical field of data recommendation. The server comprises: obtaining a search keyword of an event, a search topic corresponding to the search keyword, and first sorting information of the search keyword; determining a preferred search topic of the event according to the first sorting information and the search topic corresponding to the search keyword; determining a target search keyword from the search keyword according to the preferred search topic; determining target recommended content corresponding to the target search keyword; and sending the target recommended content to a terminal. The embodiments of the present disclosure can accurately recommend content of interest to a user, and improve the recommendation effect and user experience.

The application relates to a search quality optimization method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining at least one target search record, the target search record comprising a target search word and search result content features, the correlation degree between the search result content features and the target search word satisfying a first correlation condition, the correlation degree being evaluated by a preset correlation scoring model; selecting at least one to-be-reviewed search record satisfying a second correlation condition from the target search records; for any to-be-reviewed search record, performing correlation review on the target search word and the search result content features to obtain a correlation review result; in the case that the correlation review result does not satisfy the first correlation condition, constructing a negative sample based on the target search record and the correlation review result, the negative sample being used for optimizing the preset correlation scoring model. The method can improve the search quality optimization effect.

A computing device receives a user input directed to a dataset of time series data. The device converts the user 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 labeled trend events. Each labeled trend event corresponds to respective portion of a line chart representing the time series data and has a respective chart identifier. The device determines a composite score for each labeled trend event and assigns it to a group. The device ranks the one or more groups and retrieves, from the search index, data for a first subset of line charts having the respective chart identifiers of the ranked one or more groups. The device generates the first subset of line charts and displays one or more line charts of the first subset of line charts.

Embodiments of the present application provide a search method, the method comprising: obtaining a first search term input by a target user; rewriting the first search term according to a preset rewriting word table to obtain N second search terms, the rewriting word table being obtained according to historical search terms of multiple users in a same session, and N being a positive integer; determining an associated commodity recommended to the target user according to the second search term, and returning the associated commodity. The search method provided by the embodiments of the present application can make the commodity recommended by the search bottom related to the search term of the user, the recommended commodity meets the demand of the user, and is easy to arouse the interest of the user in clicking or purchasing, thereby improving the conversion rate.

Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.

The present disclosure provides a search result sorting method and device, computer equipment and a storage medium, wherein the method comprises: obtaining search results matched with a search term, the search results comprising first results of a first genre and at least one second result of a second genre other than the first genre; the second result comprising at least one result document; for any result document in the second result, determining a document feature corresponding to the result document according to text attribute information of the result document, dimension information of the result document in a plurality of preset characteristic dimensions, the search term and source information of the search term; determining a document association feature corresponding to the second result according to the document feature of each result document in the second result; and sorting the first results and the second results according to the document association feature of each second result and a result click rate of each first result.

The system according to the embodiment comprises a receiving unit, an analysis unit, a generation unit, a playback unit, and a formatting unit. The receiving unit loads a video. The analysis unit analyzes the video loaded by the receiving unit. The generation unit generates minutes based on the video analyzed by the analysis unit. The playback unit plays back the video based on a search word. The formatting unit generates minutes in a specified format.

This application relates to a content search method, apparatus, electronic device, and storage medium. The method includes: responding to a search request for a target object, using a generative large model to perform text correction processing on initial search terms carried in the search request to obtain corrected search terms; using the generative large model to search for target media content matching the corrected search terms from a preset vectorized knowledge base as first search context information, the preset vectorized knowledge base being used to store vectors of content vertical domain knowledge; guided by the first search context information, the generative large model performing search term update and rewriting processing on the corrected search terms to obtain corresponding rewritten search terms; and performing content search based on the rewritten search terms to obtain content search results. According to the technical solution provided in this application, the generative large model is made more lightweight, and the rewritten reference is more comprehensive, thereby making the search rewriting more accurate.

The application discloses a system and method for calculating dynamic relations of entities, comprising an entity recognition module, a calculation module and a writing and pushing module, wherein the entity recognition module comprises a recognition processing unit, an extraction unit and a standardization and screening unit; the processing unit is used for processing personal names and institutional names; the extraction unit is used for splicing the title and the body of news and inputting into a model; the standardization and screening unit is used for standardizing the input personal names and institutional names by using a regular expression; according to the existing entity recognition technology, the news subject is recognized from the complicated news body by using a combination of a pre-training model and a traditional model, the change trend of the recognized entity relations with the news heat is analyzed, the real-time dynamic relations between the entities are established, and the system can be applied to future search word library expansion.

The application is suitable for the technical field of similarity calculation, and particularly relates to a similar URL obtaining method and system and a similar user obtaining method and system. The similar URL obtaining method comprises the following steps: obtaining a first URL; obtaining first click times of the first URL under a plurality of search words respectively; obtaining a second URL clicked under the plurality of search words; obtaining second click times of the second URL under the plurality of search words respectively; calculating behavior similarity of the first URL and the second URL according to the first click times and the second click times; and judging whether the second URL is a similar URL of the first URL according to the behavior similarity. Therefore, the application can effectively expand similarity, and expand and popularize advertisement information.

The application discloses an improved e-commerce platform product search tool, and relates to the technical field of electronic commerce and Internet information processing. The search tool comprises: a search box for receiving user input or selected search words and displaying matching products in response to a search trigger; and a search package configured to contain at least two selectable product recommendation parameter options and to be selected by the user, wherein the search package comprises at least one search key trigger. In response to the user selecting at least one of the recommendation parameter options and triggering the search key, the search package generates a configuration instruction carrying the selected product recommendation parameter value, the system stores the search words and the configuration instruction in a recommendation parameter database, and the product recommendation parameter value is provided to a recommendation engine to constrain the generation logic of the recommendation engine in subsequent recommendation processes. The application realizes instant technical mapping of user intention from the search interface to the recommendation system by placing the recommendation strategy selection right in the search interaction interface, solves the problem of mutual separation of data processing of the search module and the recommendation engine in the prior art, and effectively protects user privacy and improves recommendation accuracy.

The application provides a method and an electronic device for vertical search, the method comprising: configuring different search templates for different scenes in advance, that is, configuring search rules for different scenes in advance, so that when a search word is received, a pre-configured search template matching the scene of the search word can be found, and a DSL statement is packaged based on the matching version and a search engine associated with the search engine is called to search. The scheme can meet different search requirements of different scenes in the whole search process, and the pre-configured search template is more conducive to subsequent updating and maintenance, and compared with a traditional scheme, the development time is shortened and the development cost is saved.