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46results about How to "Meet search requirements" patented technology

Intelligent Chinese request-answering system based on concept

The invention discloses a Chinese question answering system based on concept, which mainly comprises a data server, a question pre-treatment module, a candidate question set extracting module and a question sentence similarity calculation module. The invention aims at providing a question answering system which is based on concept, can carry out synonym expansion of keywords which are processed by question sentences which are input by the user, understand question sentences better, carry out searching and improve the recall ratio of the question answering system. Furthermore, the system has a Chinese sentence similarity calculation method based on concept from three aspects: word form, word order and word length, and improves searching precision ratio. Meanwhile, the system adopts a high-efficiency retrieval technology to realize rapid extraction of candidate question set, calculates question sentence similarity, sorts question set quickly and returns the sorted questions and answers to the user. The question answering system of the invention gives more precise understanding in concept to the question sentences input by the user and searches the accurate answers. Experiments show that the question answering system of the invention achieves high recall ratio and precision ratio.
Owner:HUAZHONG UNIV OF SCI & TECH

Network image retrieval method based on semantic analysis

The invention relates to a network image retrieval method based on semantic analysis, which is used for extracting low-level features. Content-based image retrieval is performed on each type of feature to find out a visually-similar network image set. The related text information is used for semantic learning corresponding to each image in the network image set corresponding to each image in the network image set to obtain the semantic expression for the image query. The semantic consistency of the retrieval image set corresponding to various features on the text information is judged, the semantic consistency is used to measure the description capacities of various features, to endow the description capacities with different degree s of confidence. The semantics and semantic consistency of the image query are adopted to perform text-based image retrieval in the image base to obtain the semantic relevance of each image in the image base and the image query; the low-level features are adopted to perform content-based image retrieval on the image base to obtain the visual relevance of the each image in the image base and the image query; the semantics is fused with visual relevance through a linear function to ensure the image for the user to have both semantic and visual relevance.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Ontological semantic extension and collaborative filter weighting fused process knowledge retrieval method

The invention discloses an ontological semantic extension and collaborative filtering weight-fused process knowledge retrieval method. According to the method, weighted fusion is carried out on ontological semantic extension and vector space model-based knowledge matching method and a user attribute collaborative filtering matching method, and finally user personalized retrieval results accordingwith real retrieval intentions of users are obtained through forgetting curve-based weight control. According to the method, advantages of ontological knowledge retrieval and collaborative filtering are combined, dynamic and static attributes of users are sufficiently considered, and related information is integrated, so that retrieval results which more accord with user retrieval requirements andhave user personalization can be obtained and then sharing and reusing of war industry knowledges are improved.
Owner:NANJING UNIV OF SCI & TECH

Processing method and processing device for searching recommendation words

The invention discloses a processing method and a processing device for searching recommendation words. The processing method comprises the following steps: obtaining keywords input in an searching bar; matching the keywords with local historical searching results to obtain first matched results; sending the keywords to a server end and receiving second matched results, which are matched with the keywords and returned by the server end; integrating the first matched results with the second matched results to obtain searching recommendation word data; and displaying the searching recommendation word in a drop-down box of the searching bar. According to the technical scheme provided by the invention, keywords which are input into the searching bar are matched locally and on the server end, on the one hand, the keywords can be associated with the historical searching habits of a user, on the other hand, the keywords can be associated with a searching trend of the current society, so that the searching recommendation word data which are relatively accurate, effective and reliable, and meets the searching needs of a user can be obtained, and the user can conveniently and freely select, and the searching efficiency and the searching experience of the user are improved.
Owner:BEIJING QIHOO TECH CO LTD

Word meaning extracting method based on search interactive information and user search intention

The invention discloses a word meaning extracting method based on search interactive information and user search intention. The method comprises the following steps in order: recording historic interactive information of each user; using the query keywords in the first K1 rank of the user query frequency to construct a query keyword vector; using corresponding click results obtained after querying the query keywords in the first K2 ranks of the query frequency of each user to construct a corresponding click vector, and setting items corresponding to the query keywords in the first K2 ranks ofthe query frequency of each user in the query keyword vector as 1, and setting other items as zero; extracting a meaning item number of anyone of high-frequency query keywords; clustering the users; and computing the preference rank of the meaning item corresponding to each query keyword of users in the same class. The method can avoid the cost problem caused by manual marking; meanwhile, the problems that the derivative free method has poor effect and is limited by the field. A personalized search service can be provided for a single user according to the analysis result obtained by the method provided by the invention.
Owner:北京牡丹电子集团有限责任公司数字科技中心

Method and device for information searching

The invention discloses a method and device for information searching and belongs to the technical field of Internet. The method comprises the steps that an interactive statement used for the information searching is received; a target semantic attribute template is determined from a semantic attribute template set, wherein the target semantic attribute template has a one-to-one correspondence relation with semantic attributes of multiple continuous characters and words in the interactive statement; a phrase composed of the multiple continuous characters and words matched with the target semantic attribute template is acquired and taken as a single query condition of the interactive statement; and the searching is conducted according to the single query condition. According to the invention, the phrase composed of the multiple continuous characters and words matched with the target semantic attribute template is acquired and taken as the single query condition used for the information searching; semantic information denoted by the single query condition is complete and can be taken as a complete query limiting condition, so that searching results can satisfy a user's search demands to the hilt; and the problem of low search accuracy caused by information loss can be avoided.
Owner:HISENSE

Method, device and equipment for determining search result and computer storage medium

The invention discloses a method, device and equipment for determining a search result and a computer storage medium, and relates to the field of intelligent search. According to the specific implementation scheme, the method comprises the steps that 1, obtaining the current query of the user, the search history information of the user in the first duration, the search history information of the user in the second duration and the candidate search result of the current query; a search result ranking model is input, a search result corresponding to the current query is determined according to scores of the candidate search results, and the second duration is longer than the first duration; wherein the score of the candidate results by the search result sorting model is determined accordingto the similarity between the integration of the vector representation of the current query and the vector representation of the search history information of the user within the first duration and the vector representation of the candidate search results; and determining the similarity between the integration of the vector representation of the current query and the vector representation of the search history information of the user within the second duration and the vector representation of the candidate search result.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Sorting algorithm for standard literature retrieval

The invention discloses a sorting algorithm for standard literature retrieval, relates to the technical field of keyword retrieval. The sorting algorithm includes: influencing the boost scoring by setting the query configuration; packaging the method for realizing the edismax and the map function; carrying out quantitative regularization processing on a plurality of fields such as query title names, question records and text; setting the scoring weight for the text relevancy of each field, endowing the fields with different weight levels according to accurate and fuzzy matching; after two times of data regularization processing, carrying out reverse order sorting through the packaged map function, and the result is fed back, so that the accuracy in the standard literature retrieval processis improved.
Owner:江苏省质量和标准化研究院

Search method based on electronic book, server, client and system

The invention discloses a search method based on an electronic book, a server, a client and a system. The method comprises the following steps: receiving a target search term sent by a client; determining at least one co-occurrence search word corresponding to the target search word; aiming at any co-occurrence search word, obtaining a book word associated with the co-occurrence search word; and sending the book words to the client, so that the book words are displayed on the client. By adopting the scheme, the search word with strong semantic association with the target search word can be obtained, the search result obtained based on the co-occurrence search word not only can meet the search requirement of the user, but also can provide diversified search results for the user, and the hit rate of the search results is improved; in addition, according to the scheme, the book words associated with the co-occurrence search words are sent to the client side, the book search path of the user can be shortened by displaying the book words in the client side, and the book search efficiency is improved.
Owner:ZHANGYUE TECH CO LTD
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