173 results about "Search terms" patented technology

A research assistant system described herein includes a research assistant tool and associated components and a graphical user interface to guide user input to research, discover, and evidence answers for complex research questions. The research assistant system may include the graphical user interface (“GUI” or “user interface”) for presentation on a user device associated with a user. The user interface may provide prompts and guidance for collaboration and exploration of research concepts iteratively. A concept may include a search term, entities, and / or propositions / statements.

Disclosed herein are a system, method, and computer program product embodiments for retrieving and ranking knowledge resources relevant to a query from knowledge base(s). For example, a query for resources from knowledge base(s) may be received. Based on the query, a first set of candidate resources are obtained from the knowledge base(s) having a lexical similarity to the query search terms, and a second set of candidate resources are obtained from the knowledge base(s) having a semantical similarity to the search terms. For each of the first and second sets of candidate resources, a confidence level indicating the relevance of the candidate resource to the query is determined. The sets of candidate resources are ranked based on at least the confidence levels to generate a ranked list of candidate resources. A query response comprising at least a subset of the ranked list candidate resources is provided to a GUI.

Systems, methods, devices, and computer readable storage media described herein provide techniques for intelligently interpreting and / or responding to search queries. In an aspect, a search query comprising a search term is received. A generative artificial intelligence (AI) model is utilized to generate a question based on the search term. Data semantically similar to the question is identified. The generative AI model is used to determine an answer to the question based on the question and the identified data. In a further aspect, a question-answer pair comprising the question and answer is generated. In an alternative further aspect, the answer is caused to be presented in a graphic user interface corresponding to a search engine. In a further aspect, the answer is determined during an active session with the search engine. In a further aspect, the search term and the question-answer pair are stored in a key-value store.

Embodiment of the disclosure relates to a method, apparatus, device, and storage medium for media item generation. The method provided herein includes: displaying a item search page comprising a search control, the item search page being configured to provide an item search result corresponding to received input information; receiving a search term inputted in the search control; providing, in the item search page, a generation entry in association with the search control; and based on a selection of the generation entry, displaying, in the item search page, a set of media items generated based on the search term. In this way, the embodiments of the disclosure may provide users with more diversified media items to meet user specific needs for media items.

Methods, systems, and devices are disclosed for adjusting an image such that its vector representation more closely aligns with the vector representation of one or more intended search terms, and less closely aligns with the vector representation of one or more non-intended search terms. The method includes accessing an image and the intended and non-intended search terms. The image is iteratively adjusted using a machine learning system operating using a loss function that rewards adjustments resulting in an increase in the similarity score of the intended search terms, and penalizes adjustments resulting in an increase in the similarity score of the non-intended search terms. The loss function also penalizes increases in the perceptual loss between the input image and the adjusted image. The adjusted image may be uploaded to a sharing platform to improve the accuracy of search and organization of the adjusted image.

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.

The invention provides a search result recommendation method and equipment, which are used for improving the search performance of electronic equipment and improving the use experience of a user on a search function of the electronic equipment. According to the method, the electronic equipment detects and responds to a search instruction of a user, and a search word can be obtained; the electronic equipment can obtain at least one piece of equipment use information; based on the obtained search term and the equipment use information, the electronic equipment can provide a search result matched with the equipment use information of the electronic equipment, and the provided search result can be obtained after screening and / or sorting. Therefore, the search result provided by the electronic equipment can fit the use habit of the user or can be matched with the use state of the electronic equipment, so that the use experience of the user can be improved.

An electronic device may comprise displays, at least one processor, and memories storing instructions. The instructions may, when executed by at least one processor, cause the electronic device to: display, on at least a portion of the display, a search window configured to receive a text input; enable the electronic device to receive a text input via the search window; identify whether the text includes a character string representing a function and / or instruction of the electronic device; and display a user interface, including a selectable object for changing the settings for a function of the electronic device corresponding to the character string, on at least a portion of the display in response to the identification of the character string.

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.

Structured data comprising primary data is transformed into object-based data comprising the primary data and at least one search function. The object-based data when loaded into memory provides the search function as executable instructions for an object instance. When an application calls the object instance with search terms as input, the search terms are located within the primary data (which is loaded into memory) by the search function, and the object instance returns corresponding field values from the primary data associated with the search terms to the application.

The present application relates to the technical field of computer information retrieval, and particularly relates to a digital publishing platform supplementary character retrieval method and system, the present application provides a kind of digital publishing platform supplementary character retrieval method and system, retrieve function is called out by user end, supplementary character feature is matched with supplementary character database, corresponding glyph is extracted according to matching data, after obtaining search term, the search term data uploaded to central server is processed by indexing word division data in supplementary character database and preset algorithm based on supplementary character, key word full-text retrieval is carried out by word division, and the search result is displayed in user end, solve the supplementary character of prior art and can only be expressed by screenshot form, picture is difficult to form effective index, cannot be directly added to full-text retrieval engine, leading to related digital publishing application cannot be based on supplementary character to realize key word retrieval, pinyin, initial letter retrieval and other problems.

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.

In a system for displaying search results for program content, a first set of programs, television channels or streaming media content provider platforms are determined to be relevant to search terms based on a search. A second set of the programs, television channels or streaming media content provider platforms are also or instead listed or ordered on the display based on one or more received priority indicators received. Prior to the search, the priority indicators may pre-associate the second set of programs with one or more specific search terms used in the search. The priority indicators may give priority to order the certain programs, television channels or streaming media content provider platforms to be displayed above, or more prominently than, other items in the search listing resulting from using such search terms based on various different factors.

Adjusting internet advertising bids in internet advertising campaigns, including maintaining at least one auction rule that that specifies how to adjust a bid for a search term in an internet advertising auction in the case that the auction is determined to be uncontested, where a successful bid for a search term results in a corresponding paid ad provided by an advertiser to appear in a search engine results page (SERP), and, where in an uncontested auction the SERP displays only one paid ad, the paid ad provided by the advertiser, receiving a search term, computing a contest score that estimates the likelihood that an auction for the search term is uncontested, determining, based on the contest score that the auction is uncontested; and performing an uncontested auction method that executes a bid for the search term.

Systems and methods are provided for providing search results. An expert search thread associated with a search term is received. A first query from a first user based on the search term is received, and a set of results to the first query is provided, where the set of results includes the expert search thread. A credibility score is determined for the expert search thread. A second query is received from a second user based on the search term. A placement of the expert search thread in a set of results for the second query is determined based on the credibility score for the expert search thread, and the set of results for the second query is provided to the second user.

This application discloses a search result display method, computer device, and storage medium, belonging to the field of computer technology. It includes: extracting search terms to obtain a first entity associated with the search terms; extracting information from the product title of any one of multiple target products to obtain a second set of associated entities; querying a target knowledge graph to obtain a third set of entities based on the relationships between each entity in the second set and the first entity; determining the relevance between the search terms and target products based on the association score between each entity in the third set and each entity in the second set; and sorting the multiple target products according to the order of relevance between each target product and the search terms from high to low. In this way, the relevance between search terms and search results can be accurately calculated, thereby enabling precise display of search results and improving user experience.

The present application relates to the field of voice control technology, and provides a method, device, and car for displaying fuzzy search terms for in-vehicle voice search. The method includes: when a user in the car uses a voice command to search for content and displays the corresponding search results on the central control screen, detecting whether the user responds to the search results within a preset time; if not, performing a fuzzy search for the terms and obtaining at least one related term; identifying the location of the user who issued the voice command; and sending the at least one related term obtained from the fuzzy search to an electronic screen near the user's location for display. The present application enables the display of related terms for fuzzy search based on the user's location, making it easier and more convenient for the user to view and select related terms. In addition, fuzzy retrieval is used to further identify the voice command to obtain related terms, thereby providing the user with the option of further content search and increasing the probability of finding the target content the user wants.

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.

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.

For generating policy labels, a method generates at least one characteristic question that represents an interest policy. The method identifies characteristic question examples from a searchable database, wherein at least one characteristic question example represents each answer to each characteristic question. The method generates first policy labels for each characteristic question of the characteristic question examples. The method generates a content set of search results from the searchable database for search terms generated from each characteristic question. The method generates characteristic labels for the content set using a classifier Multimodal Large Language Model (MLLM) and a confidence criteria. The method generates second policy labels from the characteristic labels for the content set. The method trains a classifier model based on the content set and the second policy labels. The method generates a given policy label for media content using the classifier model.

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.