64 results about "Enterprise search" patented technology

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide —a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

An interface can allow for associating documents with tags. A search system can use connections between the tags and documents to determine search-independent rank values for the documents. The search-independent rank values can be combined with term matching indications to get a total relevance of the document.

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

Embodiments of the invention improve the quality of search results returned for a given set of search terms based on metadata associated with the user performing the search. A search query may specify metadata elements to consider in ranking the search results. The metadata used may include bookmarks set by the user (either locally or at a social bookmaking site), group bookmarks, etc. In such a case, search results may be reordered to improve the ranking of websites that are both in the search results and in the bookmarks.

The invention provides a method and device for carrying out error correction on texts after speech recognition. The method for carrying out error correction on texts after speech recognition comprises the following steps of: preprocessing a text after speech recognition; recognizing a search intention of the preprocessed text; determining to-be-extracted attribute information according to the recognized search intention and extracting attribute information from the preprocessed text; and calculating the similarity between the attribute information and any candidate word in a candidate lexicon, and carrying out error correction on the extracted attribute information according to the similarity. Through the method and device, the free man-machine interaction is realized, the problem that the speech recognition is incorrect in speech search is effectively solved, the speech recognition correctness is improved, the enterprise search demands are satisfied and the user experience is enhanced.

The invention comprises a set of complementary techniques that dramatically improve enterprise search and navigation results. The core of the invention is an expertise or knowledge index, called UseRank that tracks the behavior of website visitors. The expertise-index is designed to focus on the four key discoveries of enterprise attributes: Subject Authority, Work Patterns, Content Freshness, and Group Know-how. The invention produces useful, timely, cross-application, expertise-based search and navigation results. In contrast, traditional Information Retrieval technologies such as inverted index, NLP, or taxonomy tackle the same problem with an opposite set of attributes than what the enterprise needs: Content Population, Word Patterns, Content Existence, and Statistical Trends. Overall, the invention emcompasses Baynote Search—a enhancement over existing IR searches, Baynote Guide—a set of community-driven navigations, and Baynote Insights—aggregated views of visitor interests and trends and content gaps.

An enterprise search system includes a server coupled to a data repository storing information specific to persons engaged in the enterprise, including enterprise-related activity and data related to such activity, and a search application executing on the server from a digital media accessible to the server. The search application, in response to criteria entered, searches sources within the enterprise and returns results specifically associated with additional information specific to individual ones of the persons engaged in the enterprise.

Techniques for providing at least one user access to one or more documents in a collaborative computing environment in accordance with a search engine are provided. The user is presented with search results, wherein the search results comprise at least one document comprising at least one portion to which the user has no access. A request from the user for access to the at least one document is received. A supervising entity is then notified of the user request to access the at least one document. An instruction from the supervising entity is then received. In accordance with the received instruction, the user is granted access to the at least one document.

Methods and systems allow integrated search in an enterprise environment that stores information in data silos. Entity type metadata, relations between entity types and other information related to entity types is extracted from the data silos. Metadata information extracted from multiple data silos is combined to construct a global data model for the enterprise. Entity instances present in the data silos are analyzed to generate documents representing the entity instances. Relations between documents are represented by links between documents. The documents generated are indexed to allow searching across the enterprise. Search results are presented in order of their importance to the searcher.

The present invention relates to a distributed enterprise information vertical search method. The distributed enterprise information vertical search method comprises: crawling related webpages on websites of related information by using network crawlers through a data acquisition module; cleaning the related crawled webpage data by a data indexing module and establishing an index; receiving query keywords through a comprehensive search module and an enterprise search module, submitting the query keywords to a solr service and inquiring the query keywords from the established index documents; and accomplishing authority management of a system user by virtue of a user authority management module and pushing inquiry results as required according to authority. The distributed enterprise information vertical search method is a professional search method for enterprises and is subdivision and extension of a universal search engine, solves the problems that the universal search engine is great in amount of information, inaccurate to inquire, not enough in depth and the like, and can provide information with a special value and related services in the field of taxation.

An interface can allow for associating documents with tags. A search system can use connections between the tags and documents to determine search-independent rank values for the documents. The search-independent rank values can be combined with term matching indications to get a total relevance of the document.

A system stores records of different entity types and processes search queries to determine search results comprising records that match the search query. The system receives a search query comprising search keywords from a source user. The system identifies a target user based on a search keyword received in the search query. The system determines a relationship between the source user and the target user. The system determines a relationship strength score for the relationship between the source user and the target user and ranks the search results based on the relationship strength score. The system provides the search results to the source user.

The invention discloses a unified information retrieval intelligent agent system and a method, which are used for a search engine and are capable of flexibly configuring retrieval strategies for structured data and unstructured data. The system is used for providing different retrieval strategies for different pieces of data by constructing an information retrieval intelligent agent, and is correspondingly provided with an analysis module, an indexing module and a retrieval module. The search engine carries out different scheduling during indexing and retrieval according to configuration of the intelligent agent, so the search engine can be customized. The intelligent agent system comprises an intelligent agent mapping file, an intelligent agent configuration module, an intelligent agent indexing scheduling module and an intelligent agent retrieval scheduling module. The invention has the advantages that: different pieces of user data or different retrieval rules can be configured and embodied in the intelligent agent by using the unified information retrieval intelligent agent, so the other modules of the system are not influenced. The invention is particularly applied to enterprise search and vertical search and also applied to processing of mass dark web data by a general search engine.

The invention discloses a vertical search engine system and a method using semantic analysis. The system comprises a text semantic analysis module, an indexing system module and a retrieval system module, wherein the text semantic analysis module extracts a context attribute which is represented by each sentence in a text by using the sentence as a unit, and segments and marks the context attribute; the context attribute integrates occurrence frequency of words, concept attributes of the words and the semantic statuses of the words in the sentence; the indexing system module individually establishes an index for each type of context attributes; and during retrieval, different context attributes can be retrieved independently or retrieved together. The invention has the advantages that: language environments of the words are represented by the context attributes, so the limitation of the language environments can be increased during the retrieval, and a retrieval result has better relevancy. The invention is particularly applied to enterprise search and vertical search which are relevant to the fields of search engine systems, and also applied to processing of mass dark web data by a general search engine.

The invention relates to the Internet information processing field and particularly relates to a peripheral target geographic information acquiring and searching method for position service. The location position of a user is positioned through a client, the enterprise information within a set user positioning surrounding scope is returned to the user. According to the method, data analysis, integration and display is carried out for enterprises, based on that the full basic enterprise information is established and the latitude / longitude data is stored, the enterprise information near the user is returned to the user through combining a field search function of a positioning and index system of the user, a problem of insufficient enterprise searching existing in position service in the prior art is solved, and technical support is provided for related business application and analysis, moreover, when peripheral enterprise searching is carried out, to-be-displayed enterprises are searched in a largest longitude / latitude deviation scope acquired through preselected distance conversion, actual distances between the enterprises and the user are calculated on the basis of the searched enterprises, the enterprises within a search radius is remained, efficiency and accuracy requirements are satisfied in a pre-screening mode.

A search system with a search engine applies a user search query to an index of the documents stored in a document repository for returning a result set of matching documents to a user. In order to more efficiently access, search and retrieve documents stored in document repositories, one of a document repository and an index thereof or both are partitioned in one or more dimensions, and a partition is configured in a specific dimension according to two or more document attribute values selected from one and the same attribute category. This shall enable a search application to access significantly less data in order to determine a search result and shall specifically improve the efficiency of enterprise search systems in a high degree.

Embodiments of the invention improve the quality of search results returned for a given set of search terms based on metadata associated with the user performing the search. A search query may specify metadata elements to consider in ranking the search results. The metadata used may include bookmarks set by the user (either locally or at a social bookmaking site), group bookmarks, etc. In such a case, search results may be reordered to improve the ranking of websites that are both in the search results and in the bookmarks.

A method can include receiving a search request from a user interface (UI), selecting one or more repositories in response to the search request, and displaying, on a display device, search results corresponding to the selected repositories. The selected repositories are a subset of a plurality of available repositories, as specified by an administrator. By selecting or de-selecting the available repositories, a user can define or refine a search of the available repositories. In various implementations, the method includes interface elements that assist a user in previewing revised search results based on revised selections of repositories, and / or selections of subcategories of information available in one or more of the repositories.

A method can include receiving a search request from a user interface (UI), selecting one or more repositories in response to the search request, and displaying, on a display device, search results corresponding to the selected repositories. The selected repositories are a subset of a plurality of available repositories, as specified by an administrator. By selecting or de-selecting the available repositories, a user can define or refine a search of the available repositories. In various implementations, the method includes interface elements that assist a user in previewing revised search results based on revised selections of repositories, and / or selections of subcategories of information available in one or more of the repositories.

The invention relates to a system based on a government, civilian, and enterprise direction connection and convenience service platform and a realization method thereof. Videos, audio data, pictures, texts, data, and other information, which are acquired the by civilians by using Internet, mobile terminals, audio video and picture acquisition devices, are acquired by the system. The information is directly pushed to the central government, ministries, various general offices directly under the state council, various committees, application and informatization departments of various army headquarters, and then data including data operated by the ministries and information uploaded by the civilians are acquired from the ministry of public security, the ministry of civil affairs, the ministry of agriculture, the ministry of land and resources, the state administration of industry and commerce, the state administration of work safety, the state administration of taxation, the ministry of environmental protection, the general administration of customs, the general administration of quality supervision, inspection and quarantine, the China food and drug administration, the supreme people's procuratorate, the supreme people's court, and other ministries are acquired. The platform is used to provide missing people reports, missing object reports, and enterprise searching information, and then the thoughts, the requirements, and the information of the civilians are acquired timely for analysis and decisions of leaders. The civilians are capable of searching the information conveniently, and the convenience service is realized, and then the information is acquired from the people, and is used for the people.

The invention relates to the field of Internet information processing, and particularly relates to a peripheral enterprise search system based on location service. The location of a user is positioned through a client. Enterprise information in a set range around the user positioning is returned to the user. According to the invention, the system carries out data analysis, integration and display on an enterprise; on the basis of established full basic enterprise information and latitude and longitude data storage, the functions of user positioning and index system range search are combined to return the enterprise information around the user to the user, which makes up for the deficiency of lack of enterprise search in the prior art based on location service, and provides technical support for relevant business applications and analysis; in addition, when peripheral enterprise search is carried out, an enterprise to be displayed is searched in the maximum longitude / latitude deviation range of preselected distance conversion; on the basis of the searched enterprise, the actual distance between the enterprise and user positioning is calculated; the enterprise in the search radius range is retained; and the pre-screening approach takes into account the requirements of efficiency and accuracy.

Embodiments of the invention improve the quality of search results returned for a given set of search terms based on metadata associated with the user performing the search. A search query may specify metadata elements to consider in ranking the search results. The metadata used may include bookmarks set by the user (either locally or at a social bookmaking site), group bookmarks, etc. In such a case, search results may be reordered to improve the ranking of websites that are both in the search results and in the bookmarks.

The invention discloses an expert learning fitting method and system for natural semantic meanings in enterprise information. The method comprises the following steps of: crawling an enterprise name and enterprise information on internet; carrying out word segmentation on the obtained enterprise information; establishing an enterprise search website, allowing a user to input the enterprise name or a keyword to carry out search, detecting vocabularies clicked by the user and automatically starting the search for the vocabularies; carrying out statistic on a clicking frequency, for each word, of the user, filtering a plurality of vocabularies with high clicking frequencies to serve as feature vocabularies of the enterprise, and creating a novel dictionary by utilizing the vocabularies; taking common features among enterprises as connection points, and connecting different enterprises to form an incidence relation map among the enterprises; and searching business related enterprises associated with the enterprise according to the incidence relation map among the enterprises. According to the method and system, an expert interactive learning system is imported, and the knowledges of related structures of industrial chains are learnt, so that structures of industrial chains among related enterprises are automatically fit.

The invention discloses an information analysis-oriented human-computer interaction system and a data processing method thereof, the system comprises a human-computer interaction interface, a data input module, a data acquisition module, a data processing module, a data analysis module and a result display module;the data input module is used for providing an input interface for a user; the data acquisition module acquires intelligence information in an information crawling mode, and the data acquisition mode comprises but is not limited to general search, news search, social search, forum search, local search, dark network search, scholarship search and enterprise search; the data processing module is used for carrying out data processing on the obtained intelligence information, improving the quality of the intelligence information and storing a processing result; and the data analysis module is used for deeply mining information and submitting a mining result to the result display module for visual display. According to the invention, data processing visualization is realized, and the accuracy of information analysis is improved.

Embodiments are directed to a spellcheck module for an enterprise search engine. The spellcheck module includes a candidate suggestion generation module that generates a number of candidate words that may be the correction of the misspelled word. The candidate suggestion generation module implements an algorithm for indexing, searching, and storing terms from an index with a constrained edit distance, using words in a collection of documents. The spellcheck module further includes a candidate suggestion ranking module. In one embodiment, a non-contextual approach using a linear combination of distance and probability scores is utilized; while in another embodiment, a context sensitive approach accounting for real-word misspells and adopting deep learning models is utilized. In use, a query is provided to the spellcheck module to generate results in the form of a ranked list of generated candidate entries that may be an entry a user accidentally misspelled.