73results about How to "Improve search quality" patented technology

The present invention relates to a method computer program product for datamining with constant search time, the method and computer program product comprises the steps of: traversing a search tree to a leave, retrieving a one or more data store identifier from said leave, read data pointed to by said data store identifier, locating one or more value in said data, referencing one or more data descriptor, retrieve the n-nearest data descriptor neighbors, terminate said search.

The invention discloses a method for digital book searching based on the clicking behavior of the user. Firstly, the book reading records in a Web log are extracted to construct an association diagram between the books, and the relativity ordering of the books is calculated with the association diagram; secondly, the searched reading records in the log are extracted, to classify the inquiry words according to the hidden feedback of readers on the search results; finally, based on the classification of the inquiry words, for each type of inquiry words, the hidden feedback of the readers on the search results is used to form the final book search result ordering by integrating with through information sources, namely obtaining the book relativity ordering from the association diagram, book comments from the internet and test similarity. The method can obtain objective book relativity ordering and good word category inquiry effect; the rich book comment data on the internet is integrated into a relatively closed and static digital library, so as to effectively improve the book searching quality.

The invention discloses a remote sensing image retrieval method based on feature selection and semi-supervised learning. In the method, an optimal color feature and an optimal textural feature are selected respectively by utilizing a clustering method according to a minimum description length criterion and an improved Davies-Bouldin index; and then an appropriate semi-supervised learning method is selected according to the binarization weight of the optimal color feature and the optimal textural feature for carrying out remote sensing image retrieval. Compared with the traditional remote sensing image retrieval method, the invention not only can greatly improve the retrieval quality, but also can reduce the calculate quantity in the retrieval process and improve the retrieval speed.

The invention discloses an intellectual property service system based on Internet of things, and relates to the technical field of Internet of things. The system comprises a client, a virtual private network and a server. Different users have exclusive clients. The virtual private network is used for guaranteeing the security of data transmission. The server comprises an authority management system, a patent analysis system, a law query system, a patent application system, a patent transaction system, a patent retrieval system and relevant databases. The authority management system is used for managing the authority of each user in the system; the patent analysis system is used for providing a patent analysis service for users; the law query system is used for providing law and regulation query for the users; the patent application system is used for providing a patent application service for the users; the patent transaction system is used for providing a patent transaction platform; the patent retrieval system is used for providing a patent retrieval service for the users; and the relevant databases are used for providing a database support for each system.

The invention discloses a Chinese similar web page de-emphasis method based on microcosmic characteristics in order to solve the problem of automatic detection of content similar to Chinese web pages. The Chinese similar web page de-emphasis method considering syntactic information and semantic information of web pages both comprises the following steps: firstly, establishing a text term co-occurrence picture according to extracted web page effective information; secondly, extracting document characteristic vectors, wherein the document characteristic vectors comprise keyword position information and keyword terms ; finally, establishing a document keyword inverted index file by sufficiently using a retrieval system and classified information; completing document characteristic vector retrieval match according to the inverted index file, and thereby, detecting and investigating similar web pages. The Chinese similar web page de-emphasis method can effectively reduce the harmful effect of arithmetic accuracy by noise information, considers the content and structure information of the web page text, sufficiently uses the advantages of a retrieval and classification system simultaneously, obtains good effect of de-emphasis accuracy rate larger than 90 percent and average recalling rate larger than 80 percent and is especially suitable for large-scale web page de-emphasis.

The invention discloses an application label mining method and device, and an application searching method and server. The application label mining method includes: acquiring an abstract of each application; acquiring a search word about each application from an application searching log; and mining a label system of each application according to the abstract, the search word and a preset strategy of each application. The application label mining method and device can automatically acquire the abstract of each application, can acquire the search word of each application in real time from a historical application search log of a user, can dynamically update the application labels, can continuously improve the accuracy rate and the recall rate of the application labels through the preset strategy, can mine and establish a label system of the applications, can solve the problem that the conventional application label system can be marked manually, and then the working load of labors is large, the coverage rate is low, and the cheating phenomenon is serious, can greatly improve the searching quality of an application searching engine, and can improve the user searching experience.

In an embodiment, the size of a filter in a search engine is dynamically adjusted in order to reduce filter error. The filter, for example, may be a domain filter that contains domain(s) of preferred search results. A search engine processes the query and the domain filter to create a set of search results that are relevant to the query terms and for which a selected portion of the search results satisfy the domain filter, in that such portion of the documents come from domains in the filter. The search results may then be provided to the user, as a set of search results that are relevant to the query terms and which include some portion of results that match the query labels. The construction of the domain filter may be done with a Bloom filter approach, using domain prefixes from annotations.

In a management of taxonomic information, a name that specifies an organism is identified. Based on the name and a database of organism names or classifications, another name that specifies the organism and that represents a link between pieces of biological identification information in the database, or a classification for the organism, is determined. Based on the other name or the classification, information associated with the organism is identified.

A method, service and search system for network resource address repair are provided. The method which may be provided as a service over a network, includes: receiving a network resource address that is incorrect; dividing the network resource address into a host address and a path within the host address; searching for the host address, and repairing the host address if an error is found; and, if the host address if found or repaired, searching for the path. A search system is provided which includes a means for activating a network resource address repair if a network resource address is incorrect; and a means for repairing a network resource address. The means for repairing a network resource address includes inputting the host address or the path separately into the query processing means of the search engine.

The invention provides a method and a device for optimizing searching results, wherein the method comprises the following steps that: a current searching word query input by users is subjected to context comparison with a next query, the semantic relationship between the current query and the next query is determined, and the semantic relationship comprises any one of the following relationships: the same relationship, the synonymous relationship, the expansion relationship, the omission relationship, the relevant relationship and the irrelevant relationship; and regulation strategies corresponding to the determined semantic relationship are executed on the searching results of the current query according to the determined semantic relationship. Through the method and the device provided by the invention, the searching quality can be improved, and the searching requirements of users can be more sufficiently met.

In an embodiment, the size of a filter in a search engine is dynamically adjusted in order to reduce filter error. The filter, for example, may be a domain filter that contains domain(s) of preferred search results. A search engine processes the query and the domain filter to create a set of search results that are relevant to the query terms and for which a selected portion of the search results satisfy the domain filter, in that such portion of the documents comes from domains in the filter. The search results may then be provided to the user, as a set of search results that are relevant to the query terms and which include some portion of results that match the query labels. The construction of the domain filter may be done with a Bloom filter approach, using domain prefixes from annotations.

The invention discloses a synonym data mining method and system. The method includes the steps of: obtaining word pairs in a dictionary, a video file library and a search log record and similarity values of the word pairs, and building a candidate synonym library where the word pairs and the similarity values are associated; according to data information in the candidate synonym library, training and obtaining a synonym model; substituting the similarity value corresponding to each word in the candidate synonym library into the synonym model to obtain an output numerical value; and storing the word pairs whose output numerical values are larger than a preset threshold value in the synonym library. Thus, the synonym data mining method and system solve the problem that video file watching limits for different watching groups during media playing cannot be realized.

The invention relates to an automatic keyword extracting method. The method includes: extracting general words in a technical standard, extracting candidate keywords, filtering the general words aiming at the candidate keywords, calculating weight scores of the candidate keywords according to position features, word co-occurrence features and context semantic features, calculating a dynamic threshold according to a range of the weight scores of the candidate keywords, and determining a result keyword according to the dynamic threshold. The automatic keyword extracting method has advantages that keyword extraction is realized according to the position features, the word co-occurrence features and the context semantic features, influences of document interior positions and context semantic features on keyword weights are considered comprehensively, high accuracy and high recall rate are realized, 3GPP technical standard retrieval quality is improved, labor cost is reduced, and practicalapplication demands can be well met.

The application provides a method and system for sorting search. The method comprises following steps: obtaining a search word and obtaining texts matched with the search word by means of static sorting index, wherein the obtained texts are used as mass-selection recall texts; obtaining rough sorting feature weight by fitting the pre-counted fine sorting score of the mass-selection recall texts by means of the machine learning method, and calculating the rough sorting score of the mass-selection recall texts by means of the rough sorting feature weight; selecting first M texts which are sorted at front according to the rough sorting score, wherein the selected texts are used as rough sorting texts; calculating the user behavior probability of the rough sorting texts corresponding to the search word and calculating the fine sorting score of the rough sorting texts by means of the machine learning method using the user behavior probability; sorting the rough sorting texts according to the fine sorting score. The application can increase search quality and improve the user search experience.

The present disclosure provides a webpage data search method, device and system. The method may include the steps of: obtaining a search keyword; searching through multiple search engines according to the search keyword and obtaining search results from the multiple search engines; obtaining quality information of the search results; determining a recommended search result from among the search results from the multiple search engines according to the quality information; and providing the recommended search result to one or more users. The disclosure may provide for automatic selection of search results with increased relevance and provide increased flexibility for users in comparing search results. Thus, the disclosure may simplify user operation and improve search quality.

The invention relates to an SE (search engine) ordering method based on user participation, and belongs to the technical field of software. The method is based on an SE ordering system, a user scores all information and search results by expressing opinions such as agreement, love, disagreement, rejection and the like on a display list of search results, according to scores of the search results, one search result with high scores is ordered at the top automatically according to a high-low order of scores when the search results are searched next time, and a program for preventing malicious scoring is set. Systems which are established for implementing the method comprise a user and SE ordering system, a model processing system and an output system. With the adoption of the method, user participation can be enhanced, opinion expression is performed aiming at search information, reference is provided for other users, so that the search quality can be effectively improved, the user can perform selection by referring to opinions, the search time of the user is effectively shorted, and work efficiency and ability of obtaining information are improved.

A method and apparatus for searching fixed codebook are provided. The method includes: obtaining a basic codebook which comprises position information of N pulses on M tracks, wherein N and M are positive integers; choosing n pulses as search pulses, wherein the n pulses are parts of the N pulses and n is a positive integer smaller than N; and replacing position information of the n search pulses respectively with other position information on the tracks to obtain a searched codebook; executing the search process for K times, wherein K is a positive integer larger than or equal to 2, at least two or more search pulses are chosen in one of the K search processes , and the chosen search pulses vary in each of the K search processes; and obtaining an optimal codebook from the basic codebook and the searched codebook according to a preset criterion.

Data indexing includes receiving data from a data source; classifying the data into one of a plurality of categories according to a predetermined data classification criteria; establishing a corresponding relationship between the data and an index associated with the data, the index having a preset maximum capacity; and recording the relationship between the data and the index. The index is one of a plurality of indices, and each of the plurality of indices is exclusively written by an index writing device.

The invention discloses orient field self body intelligence library article search method, the method bases on respective filed related specialized term and builds field verb library; field verb library adopts Chinese dictionary tree structure search; acquires user input enquiry word article, bases on field verb library, enquire word article divides verb and filters, resulting in enquire central; enquire central key verb exchanges, resulting in intelligence demand; bases on which, self body intelligence library searches respective intelligence information. The method bases on respective field intelligence information and builds field verb library, bases on the field verb library and series calculation exposits described word article, and acquires user intelligence demand, and from self body intelligence library acquires respective intelligence information, raises search quality.

The invention discloses an application searching method and device. The method includes the steps that label systems of applications are built; search words uploaded by a client are received; matching is conducted in the label systems of the applications according to the search words; when the search words are matched with keywords of the label system of one application, relevant information of the application is fed back to the client to be displayed. Therefore, by building the label systems of the applications, when the search words uploaded by the client are received, matching is conducted in the label systems of the applications according to the search words, when the search words are matched with the keywords of the label system of one application, the relevant information of the application is fed back to the client to be displayed, and intelligent searching of the application is achieved. The built label systems of the applications guarantee the recall rate of application engine searching, the searching quality of the application engine searching is improved, and user experience is enhanced.

The invention discloses a user satisfaction analyzing method and device, which belong to the technical field of computer internet. The method comprises the following steps of: setting an evaluation object and an evaluation keyword corresponding to the evaluation object; capturing searching data corresponding to each evaluation keyword of each evaluation object; configuring an evaluation task for a user in a pre-established user database; when the user selects at least one of parallel SBS, phased item PI and title abstract TAU evaluating methods, which are locally provided, so as to evaluate the evaluation object in the evaluation task, capturing an evaluation page corresponding to each evaluation keyword of each evaluation object; displaying the evaluation page to a user; obtaining the evaluation of the user to the evaluation page corresponding to each evaluation keyword of each evaluation object; and figuring out a score of each evaluation object according to a preset evaluation calculation formula. The history, present, and future variation situations of the evaluation object can be know from a plurality of types or aspects.

A system embodiment receives a query from the user. The query is processed by a search infrastructure which may return a set of results. Results may then be estimated for quality by a quality estimator. The quality estimator may determine an initial quality estimation of the search result(s). A query re-issuer generates re-issued query information based on the initial quality estimation of the search result(s) for the initial query. A query modifier then receives the re-issued query information and generates a modified re-issued query in accordance with the query re-issue information. A method embodiment modifies and re-issues a query to the search infrastructure. The method includes determining an initial quality estimation of the search result, generating re-issued query information based on at least an initial quality estimation of the search result for the initial query, receiving the re-issued query information and generating a modified re-issued query in accordance with the re-issued query information.

The invention discloses a construction period assignment, order reception and production scheduling integrated optimization method. Before the scheduling moment is formally started, scheduling information required by modeling is collected; acquired information, initializing by constructing a heuristic algorithm to obtain an initial solution; on this basis, a hybrid iterative greedy algorithm basedon knowledge orientation is proposed to solve the problem and obtain a local optimal scheduling scheme and a corresponding optimal delivery date, and meanwhile, a fast variable neighborhood rising search strategy based on an insertion and exchange structure is designed in the local search stage. When a processing task is arranged in an actual production environment, a globally optimal schedulingscheme is obtained through several times of iterative comparison. By integrating the optimal configuration strategy, a rapid and effective management scheme is provided for prefabricated part manufacturers by taking maximization of net profits as a target.

The invention discloses a high-voltage breaker moving contact movement track real-time identification method based on priori knowledge. The method includes the following steps: a red square marker is fixed on a breaker insulating pull rod; the position of a high-speed camera is adjusted, and a marker image sequence is obtained; a tracking target template is determined; a maximum search range of a current frame is determined according to priori knowledge; a priority search sequence of a next frame of target is determined according to priori knowledge, and coarse search is performed on each pixel point of an embedded dual hexagons in sequence; rhombus fine search is performed around an optimal pixel point, the position of the target is determined, and a priori knowledge base is updated at the same time; and the position of the target in an image in each frame is recorded, and a movement track is generated. The high-voltage breaker moving contact movement track real-time identification method provide by the invention is based on a breaker motion characteristic monitoring priori knowledge base, makes improvements on an existing target tracking algorithm, fully excavates and utilizes effective information of the priori knowledge base, proposes an embedded dual hexagon-rhombus fast search algorithm on this basis, and can realize real-time and precise moving contact movement track identification.

The invention discloses a method and device for providing a bidding information search service.The method comprises the steps that bidding information source data is obtained from the Internet and stored in a first database; critical data is extracted from the source data in the first database and stored in a second database; a bidding information query request is received, the second database is inquired according to keywords in the query request, and if matched items exist, one or multiple corresponding critical data are obtained from the second database according to the matched items for display.According to the method and device for providing the bidding information search service, data mining is conducted on bidding webpage information, the recall rate and accuracy rate of searching are greatly increased, the problems that a bidder wastes time and energy in searching for opportunities, and the efficiency is poor are solved, search options are provided by grabbing critical data information, the searching quality is improved, and the work efficiency of the bidder is greatly improved.

The invention discloses a water resource information vertical search method based on a cloud platform. The method comprises the following steps: constructing a seed site list; capturing the water resource webpage of the seed site by using a web crawler and preserving the water resource webpage into a local webpage database; constructing a water resource terminology standard set, and organizing all water resource terminologies in the standard set into a dictionary for the water resource field; carrying out analysis and text extraction on the webpage in the local webpage database; extracting the semi-structured data of the webpage to be structured data which can be conveniently stored and indexed; establishing inverted index for the structured data of the webpage and storing the index result in the index database; and searching the index database according to the search request submitted by a user and returning the search result. According to the method, the quality of the water resource webpage can be optimized, the search quality is improved, distributed search is realized, and the search efficiency is improved.

The present invention relates to a method computer program product for datamining with constant search time, the method and computer program product comprises the steps of: traversing a search tree to a leave, retrieving a one or more data store identifier from said leave, read data pointed to by said data store identifier, locating one or more value in said data, referencing one or more data descriptor, retrieve the n-nearest data descriptor neighbors, terminate said search.

The invention discloses a query parameter processing method and device. The method comprises following steps: receiving a query request input by a user, obtaining the query parameters carried in the query request, if it is determined that the query data type is the POI (Point Of Interest) type according to the query data type parameters in the query parameters, determining the actual query data type according to the query string in the query parameters and a preset semantic analysis rule; in other words, the information such as the actual query data type of the user can be obtained accurately through analyzing the query parameters carried in the query request input by the user; therefore, the query request of the user can be rewritten subsequently according to the obtained information such as the actual query data type of the user; the query mode more conforming to the actual demand of the user and the understanding of a computer is constructed; and the searching quality of a map searching engine can be improved.

The invention discloses a data retrieval system and method. The retrieval system comprises a keyword input module used for inputting a keyword to the system, a retrieval module connected with the keyword input module and used for retrieving the keyword input by the keyword input module in a database to obtain a retrieval result and displaying the retrieval result on a user terminal, an intelligent storage module connected with the retrieval module and used for storing the keyword and the retrieval result sent by the retrieval module, and a user feature module connected with the retrieval module and the intelligent storage module and used for tracking and recording keywords input by a user for one or more times and obtaining behavior information of the user after each retrieval. According to the data retrieval system and method, data contents which the user needs or is interested in are displayed on a terminal device conveniently and quickly, so that the retrieval time is saved and the retrieval accuracy and efficiency are improved.

The invention relates to a search engine ranking method based on user participation and belongs to the technical field of software. The method is based on a search engine ranking system and a user can express approval, like, disapproval, opposition and other opinions on a display list of search results and perform scoring on all of information and search results; and according to score values of the search results, in next search of the results, the results will be automatically ranked according to the score values, the results with high scores will be ranked ahead and a program for preventing malicious scoring is set. A system established for implementing the method comprises users, the search engine ranking system, a model processing system and an output system. By adopting the method of the invention, the user participation can be strengthened, the expression of the opinions can be performed on the search information and other users can take the opinions as references, thereby effectively improving search quality, facilitating the selection of the users by referring to the opinions, further effectively reducing search time of the users and improving handling efficiency and capability of learning information.