1641 results about "Search words" patented technology

A system and method for searching information from a database using a natural language. In one embodiment, the system analyzes a natural language search request and converts the search request into one or more search words. The search words are further converted into a string of bytes, and a subset of a target database, referred to as the datasoup, is searched. If there is a match between the bytes and raw data in the datasoup, the searched data is retrieved from the target database. The searched data is then formatted and provided to a user. Optionally, the searched data can be provided to the user unformatted. In another embodiment, the system includes a system server configured to receive a natural language search request, a core engine coupled to the system server and to the target database, and a system database coupled to the core engine, where the core engine accesses the system database to analyze the search request. The system database stores global rules, one or more preference files, and one or more dictionaries, and the preference file stores information about the user.

A search engine process predicts the correct spellings of search terms within multiple-term search queries. In one embodiment, when a user submits a multiple-term search query that includes a non-matching term and at least one matching term, a table is accessed to look up a set of terms that are “related” to the matching term or terms. A spelling comparison function is then used to determine whether any of these related terms is sufficiently similar in spelling to the non-matching term to be deemed a candidate correctly-spelled replacement. A candidate replacement term may automatically be substituted for the non-matching term, or may be suggested to the user as a replacement. The invention also includes a process for identifying terms that are related to each other based on the relatively high frequencies with which they co-occur within search queries of users, database records, and / or specific database fields.

This invention allows keyword searches in both structured and unstructured databases, and across multiple databases of different vendors. An index database is created comprising word occurrences and table relationship information. In the case of unstructured databases with no predetermined schema, the relationship between different tables is derived through propagative n-level indexing and data is then populated in index tables. A database adapter enables indexing and searching across multi-vendor databases, which resolves discrepancies across different database access methodologies. Given a set of keyword inputs, the rows containing the search words and all the related rows are searched using word occurrences and relationship information.

A preferred embodiment comprises the use of search rankings referring to a data object according to different sets of key words. So a search result according to a first set of key words might have a first ranking in a search result. The same data object including such as web pages and the like might have a second ranking if a second set of search words was used. The data object might appear in search results using a plurality of sets of key words and so when using the first set, also knowing the ranking from using the second set gives more information about the data object.

Systems and methods that provide search and / or query-relevant information and / or links thereto to a user as and / or with a search and / or query result. This information can be determined from summary information that can be included within a tag, header, body, meta-data, etc. of the data. A user can employ a local and / or web search utility along with a search word, phrase, sentence, etc. to search over a data repository to locate and retrieve data that satisfies the search criteria. The summary information of this data is obtained and matched against the results and / or search criteria to determine whether the data is relevant to the search and / or query. The summary information is utilized to determine a snippet that summarizes the data, based on the search and / or query, search criteria, etc. to provide the user with search and / or query-relevant results and / or one or more links thereto.

Disclosed is a system and a method for automatically classifying search results. The system includes a search engine server for obtaining and providing search results with regard to a search word entered by the user, grouping the obtained search results according to meanings of the search word, and providing the grouped search results; a related word database for storing related words classified into groups according to meanings of the search word; and a group determination system for receiving search results from the search engine server, comparing the contents of the search results with the related words stored in the related word database to determine which group of the related word database the search results belong to, and storing search results at a predetermined place when the search results are not grouped.

A system and method for enabling information providers using a computer network such as the Internet to influence a position for a search listing within a search result list generated by an Internet search engine. A database stores accounts for the network information providers. Each account contains contact and billing information for a network information provider. In addition, each account contains at least one search listing having at least three components: a description, a search term comprising one or more keywords, and a bid amount. The network information provider may add, delete, or modify a search listing after authenticated login. A search term relevant to the content of the web site or other information source to be listed is first selected. A search listing includes the search term and a description. A bidding process occurs when the network information provider enters a new bid amount for a search listing. The system and method then compares the bid amount with all other bid amounts for the same search term, and generates a rank value for all search listings having that search term. The rank value determines where the listing will appear on the search results list page that is generated in response to a query of the search term by a searcher.

A question answering system includes an answer candidate extraction unit, a query generation unit, a passage search unit, an answer candidate inspection unit and an answer output unit. The answer candidate extraction unit executes a search process based on an input question to extract a plurality of initial answer candidates. The query generation unit generates a query including at least two of the initial answer candidates as search words. The passage search unit executes a search process based on the query to extract a hit sentence corresponding to the query. The answer candidate inspection unit analyzes the hit sentence to inspect a relationship between the initial answer candidates and generates answer candidates to the input question on a basis of an inspection result. The answer output unit outputs the answer candidates generated by the answer candidate inspection unit.

The invention discloses a method for monitoring and displaying Internet hot spots, which comprises the following steps of: querying a microblog search engine inlet and an RSS reader to acquire recommended link information, and calculating rank values of the recommended links to determine hot links; monitoring and searching search hot words with the quickest engine rise, combining the hot words, searching associated news through the hot words, calculating the hot degree value of the associated news, and determining hot topics; and performing text similarity calculation on the headers and texts of the hot links and hot words of the hot topics and a search word list thereof, and combining the hot links with the hot topics to acquire Internet hot spot information. The technical scheme can quickly monitor the latest hot spots of the Internet, effectively establish the association among the hot key words, hot links, news, pictures, video and the like, and fully display the Internet hot spots.

An apparatus and method for conducting exclusive and inclusive metadata searches to identify and select multimedia programs. The apparatus of the invention including a metadata search controller that compares user specified search words with metadata words to find programs that meet user specified search criteria. The metadata search controller executes an inclusive metadata search to search for matches between a user specified search word and a metadata word that is related to the user specified search word in a word pair contained within a word pair database. The metadata search controller calculates a rank value for each program that is found by a metadata search and creates a ranked list of such programs.

A search engine for retrieving documents from a database comprising a semantic document editor that is operable to allow a user to edit an existing document by creating one or more searchable compound word that contains information contextually relevant to the contents of the document. The editor is operable to associate the one or more created compound words with the document to produce an enhanced document having the compounds words associated therewith. A database is provided for storing a plurality of enhanced documents and a semantic query editor is provided that is operable to enable a searcher to address the database of enhanced documents with a query. The query editor is operable to receive the query and convert it into one or more compound search word that contains contextually relevant information. A search module is provided that is operable to receive the searchable compound words and to locate the relevant enhanced documents that have compound words associated with the document matching the searchable compound words. An output means is provided for presenting any located documents to the searcher.

This invention provides a system method for search and displaying text-based documents, based upon user-input search terms that organizes and displays documentary search results in a series of clusters of documents that have been sorted in a manner that relates to the general relevance of those documents to the search terms. In particular, this system and method allows for the searching of large databases of related documents by utilizing citations between those documents to improve search efficiency as well as visualization of search results. The document databases (DD) are used to generate a document connectivity index (DCI), of which a copy is stored on (or remotely accessed by) the client computer. The client issues a search request to a DD server, which returns a list of matching documents. The client compares this list against the DCI to generate a sorted list of document clusters. Using a graphical interface, the user can view and navigate these clusters to identify and view documents of interest. The clusters can be displayed as nodes in which each document is a node and the selected (or, by default, highest ranking) document / node is centered on the screen with linked documents placed around it with appropriate link lines (the surrounding node-and-link display). Each node can be activated to re-centered the nod-and-link display and show the underlying document text body.

A content addressable memory (CAM) device includes a plurality of entries each having an associated counter. When a CAM entry matches a search word stored in the comparand register of the CAM device, the matching entry's counter may be incremented. Alternatively, if there are multiple matching entries, in some instances only one matching entry has its counter incremented. The counter value can be written or read as part of either the least significant or most significant bits of the CAM entry.

A data structure, apparatuses and methods for expanding a search query to be used by a web search engine is provided. The search query is expanded by accessing a concept knowledge base data structure having concept data objects and term data objects with each term data object defining a term and associated with at least one of the concept data objects. Search terms making up the search query are matched to term data objects and a concept set is generated containing concept data objects associated with the term data objects. A second set of term data objects are generated by using the concept data objects to locate term data objects associated with the concept data objects. A user can then select one of the term data objects in the second set to expand the user's search query.

A question answering system includes a question answering unit, an analysis unit, a tree structure generation unit, a feature extraction unit, an evaluation unit and a re-ranking unit. The question answering unit executes search processing based on an input question and acquires answer candidates to the question. The analysis unit executes syntactic analysis processing or syntactic and semantic analysis processing on a passage obtained as a result of the search processing. The tree structure generation unit generates a tree structure based on an analysis result. The feature extraction unit extracts a relation between a search word applied in the search processing and each acquired answer candidate as a feature corresponding to each answer candidate from the tree structure. The evaluation unit determines an evaluation value of each answer candidate based on the feature extracted. The re-ranking unit re-ranks the answer candidates based on the evaluation values.

The application presents a question and answer recommendation method based on artificial intelligence, a question and answer recommendation device and a computer device. The question and answer recommendation method based on artificial intelligence includes steps of receiving search terms input by a user, wherein the search terms are questions; matching the search terms with questions having answers in a question and answer knowledge base; if the terms in question and answer knowledge base are not matched with the search terms completely, calculating the semantic similarity between the search terms and the questions having answers in the question and answer knowledge base; judging if the question and answer knowledge base has a question of which semantic similarity with the search terms is larger than a preset threshold value; if it does, using the answer of which semantic similarity with the search terms is more than the preset threshold value as the answer of the search term, and recommending to a user. Answer recommendation is realized according to the semantic similarity, thus the meaning transfer risk is reduced and the interference by meaningless oral expression element is reduced.

An internet search utility that combines and presents search results from disparate data sources to the user in a multi-view format. The search terms are disambiguated and a series of prioritized Views is displayed to the user in a View Mix interface. Each View includes a unique interface, processing widgets, and a unique combination of data sources. A View Picker determines, based on specific criteria, which Views are relevant and prioritizes the Views for the View Mix. As the user considers which View to select, the Pre-Caching Module conducts a background search, and preloads snapshots of top URLs for display. Selecting a particular View initiates a search per the instructions of that view. The resulting data is displayed in the View format. Views may be created by third parties or end users to reflect any particular preference thus yielding a multitude of unique views from which to consume search results.

A method and apparatus is provided for visually coding or sorting search results based on the similarity of the search results to one or more concepts. A search query containing search terms is used to conduct a web search and obtain search results comprising a number of document surrogates describing the located web pages. Concepts are obtained using the search terms and the similarities between the obtained concepts and the search results are evaluated. The search results are then displayed in a manner that indicates the relative similarity of search results to one or more of the determined concepts, such as by sorting the search results based on the level of similarity of the search results to one or more concepts or by providing an accordance indicator with each displayed search result the accordance indicators indicating the similarity of the corresponding search result with one ore more of the concepts.

The invention discloses a personalized meta search engine based on user interest and a method for processing search results. The search engine comprises a user registration / login unit, a meta search result collecting unit and a personalized processing unit, wherein, the personalized processing unit achieves screening of search results, personalized ordering and establishment and renewal of a user interest model through a search result preprocessing module, a personalized ordering processing module and a user interest renewing module. The method comprises the following steps: establishing and initializing a user interest model and then logging in a server; distributing search words input by users in the format of each search engine required; converting returning results collected into a unified format, removing reprocessing and personalized ordering in sequence, and submitting to the users; and catching search results clicked by users, changing interest types and weight size and renewing the user interest model data. The invention has the advantages that the inquiry coverage and accuracy are high, and the method for processing search results can be used for searching engine in Internet.

A method and a system for re-ranking an existing result set of documents. A user starts a search by entering search term(s). The search term(s) is (are) transferred to a search engine which generates a result set ranked by the search term(s). The search engine, in parallel, automatically retrieves context information from returned result set which is related to the original set of documents. The search engine presents the context information to the user and asks for a feedback. The user performs a weighting of the presented context information in a range from “important” to “non-important”. The result set is then re-ranked with the user-weighted context information to increase the “rank distance” of important and non important documents. The documents that are on top of the list (highest context-weighted ranking value) represent the desired information.

The invention relates to an electronic text inputting for an electronic device comprising at least the steps of providing alphanumeric user input, searching words from at least one dictionary on the basis of the provided alphanumeric user input, providing the words resulting from the search to the user, wherein the at least one dictionary is formed based on words from at least one text piece acquired from a memory of the device, the at least one text piece being selected based on at least one person pertaining to the text. The invention relates to methods, to a device and to a computer program.

The invention discloses a user-oriented information search engine system and a method. The system comprises eight modules of a search term pushing module, a user initiating search module, a user concern updating module, a primary search module, a user interest deducing module, a user concern result word segmentation module, a search word refactoring module and a secondary search module. The method includes analyzing and pushing user selectable search words, performing user initiating search, updating user concerns, executing the primary search, deducing user interests, performing word segmentation for user concern results, refactoring the search words and executing the secondary search. Accordingly, the system has the advantages of being complete in inquiring range and high in inquiring accuracy. Besides, by means of the system, the select input and automatic sequencing of the search words can be achieved, the accuracy of following inquiring results can be improved through the interactive operation, and a flexible, convenient and intelligent interactive interface is provided for the user to execute information search.

A system and method for enhancing e-commerce using a natural language interface. The natural language interface allows the user to formulate a query in a natural language form, rather than in conventional search terms. The natural language interface provides the user with a "user friendly" interface. The natural language interface can process a query even if there is not an exact match between the user formulated search words and the content in the database. Furthermore, the natural language interface is capable of processing misspelled queries or queries having syntax errors. The method for enhancing e-commerce using a natural language interface comprises the steps of accessing a user interface provided by a service provider, entering a query using a natural language interface, the query being formed in a natural language, processing the query by the natural language interface, searching a database using the processed query, retrieving results from the database, and providing the results to the user. The system for enhancing e-commerce on the Internet comprises a user interface for receiving a query in a natural language form, a natural language interface coupled to the user interface for processing the query, a service provider coupled to the user interface for receiving the processed query, and one or more databases coupled to the user interface for storing information, wherein the system searches the databases using the processed query and provides the results to the user through the user interface.

A system and method for processing a plurality of data to identify and search words contained with the plurality of data, wherein prior knowledge of the data format is unknown, is provided. The method includes identifying words within the data, wherein indentifying includes, processing the data to identify words, prior to searching. The method also includes storing the words in a predetermined manner and searching the words, wherein searching includes searching the words responsive to at least one search term to identify match results and processing the match results to at least one of save the match results to a file and display the match results.

The invention discloses a data search method and a data search system. The data search method comprises the following steps: pre-extracting a key word list, obtaining query results corresponding to key words in the key word list through visiting an external data source server, and associatively storing the key words and the query results corresponding to the key words in a cache database; obtaining a search request with a search word sent by a client, distributing the search request to the cache database, searching the key word matched with the search word and the query result corresponding to the key word according to a preset matching rule in the cache database; and sending the query result corresponding to the key word to the client. According to the data search method and the data search system, the problem of excessively long waiting time of a user caused by application of a complex algorithm to completion of a data matching process when an information database and an index database are configured at the same time in the prior art can be solved, and the benefit of quickly searching matched data according to the preset cache database and the matching rule can be obtained.

In a search system, document terms are weighted as a function of prevalence in a data set, the documents are scored as a function of prevalence and weight of the document terms contained therein, and then independently, the documents are ranked for a given search as a function of (a) their corresponding document scores and (b) the closeness of the search terms and the document terms. The steps can all be accomplished using matrices. Subsets of the documents can be identified with various collections, and each of the collections can be assigned a matrix signature. The signatures can then be compared against terms in the search query to determine which of the subsets would be most useful for a given search.

The invention provides a method and a system for generating a hot-searching word, wherein the method comprises the following steps of: clustering grasped news pages to form various news clusters; determining a hot spot news cluster in the news clusters; extracting core words from the news page of the hot spot news cluster; and determining the hot-searching word according to the searching effect corresponding to the extracted core words, wherein the hot-searching word covers one or more of the extracted core words. The invention can automatically generate the hot-searching word without manual intervention, reduces the workload of labor, does not depend on the sensitivity degree of an editor on a hot issue any more, and improves the accuracy of the hot-searching word.

The invention provides a method for automatically building a classified catalogue. The method comprises: searching the concept terms related to a searched word submitted by a user from the available data to achieve a concept term set related to the searched word; calculating the relevancy among the concept terms in the concept term set; according to the relevancy among the concept term, performing the classifying and clustering operations for the concept terms in the concept term set so as to achieve at least one concept term category; organizing the concept term in the concept term set according to the concept term categories to be a classified catalogue, and returning to the user. On the basis of the exiting search engine, the method can generate a classified catalogue corresponding to a searched word provided by a user, and the classified catalogue can reflect different meanings of the word searched by the user. Therefore, the method is conducive to finding the needed information more easily and rapidly.

In an information providing system 100, a virtual three-dimensional space (virtual space) is established by an information management server 40. A user of a mobile communication terminal 50 moves in the virtual space, and browses, posts, and searches message information items by manipulating an avatar representing the user. The information management server 40 manages the message information items and responds to searches requested from mobile communication terminals 50. The information management server 40 specifies an area where the number of message information items relevant to a search word specified by a user of a mobile communication terminal 50 is equal to or greater than a predetermined number. The information management server 40 outputs a guide information item for indicating a direction or route toward the specified area from the position of an avatar. Based on the guide information item, the mobile communication terminal 50 displays an image of an arrow pointing a direction or route toward the specified area as a target area.