704 results about "Search words" patented technology

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.

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 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.

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.

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 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 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.

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.

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.

Generation of a search query to be issued to a document search engine is supported by providing a GUI creation unit that generates a graphical user interface for supporting generation of a search query. The GUI creation unit generates a query-node creation window that is a GUI window for generating a new search word to be connected to a search query by a logical operator. The query-node creation window includes a sample-document preview area that displays a sample document, a facet list area that displays facets extracted from the sample document in list form, a query-node creation assist area to assist generation of the new search word, and a logical-operator selection icon to select a logical operator that connects the generated search word.

The invention relates to a method for implementing a functional memory and to a memory arrangement. The memory is implemented as a directory structure comprising a tree-shaped hierarchy having nodes at several different hierarchy levels, wherein an individual node can be (i) a trie node associated with a logical table wherein an individual element may contain a pointer pointing to a lower node in the hierarchy, or (ii) a bucket containing at least one element so that the type of an individual element in the bucket is selected from a group including of e.g. a data unit or a pointer to a stored data unit. To optimize the performance of the functional trie structure, the trie nodes are implemented as quad nodes of four elements, and in at least part of the directory structure groups of successive quad nodes are replaced by compressed nodes in such a way that (a) an individual group comprising a given quad node and its child nodes is replaced by a node whose logical table has 16 elements, and (b) a compressed node known per se is formed from said node of 16 elements by physically storing in the node only non-nil pointers and in addition a bit pattern on the basis of which the physical storage location in the node, corresponding to the search word, can be determined. The invention also relates to a structure in which no buckets are used.

The invention discloses a search based service information management system and method. The system comprises a plurality of user clients, a service provider client and a service information management platform, wherein the user clients are used for sending search words input by users to the service information management platform and receiving recommendation information fed back by the service information management platform; the service provider client is used for making statistics on behaviors, corresponding to service providers, of the users to generate statistic information and feeding the statistic information back to the service information management platform; and the service information management platform is used for generating the recommendation information, providing the recommendation information in a result page, generating behavior data according to the statistic information of the users, fed back by the service providers and managing service information data of the users. According to the system, the search words and attribute information of the users are combined for providing the recommendation information of the service providers, commodities or the like for the users, and the commodities, services, merchants, promotional information and the like interested by the users are accurately recommended for the users, so that the user experience is improved.

The invention discloses a keyword calculation method and a device based on user browse and search actions. The keyword calculation method includes the following steps: with regard to webpage data with other user search word skips in user browse action data, a first kind of user keywords is generated according to other user search words; with regard to webpage data with no other user search word skips in the user browse action data, a second kind of the user keywords is generated according to a title, a text and meta information in the webpage data; with regard to a search word which is directly input in the user browse action data, collaborative filtering technology is combined to conduct keyword recommendation to generate a third kind of the user keywords; the three kinds of the user keywords are merged and blended to obtain uniform user keywords; the keywords in the uniform user keywords are sequenced, and a part of or all keywords are selected to serve as keywords of an reaction to all aspects of information of a user. According to the keyword calculation method and the device based on the user browse and search actions, the cost of calculating the user keywords by a system is enabled to be small, and user actions are covered comprehensively.

The invention provides a method for searching for characters displayed in a screen and based on a mobile terminal. The method includes setting a word fetching tool, wherein the window rank of the word fetching tool is higher than that of an application program of the mobile terminal; utilizing the word fetching tool to intercept picture information on the screen according to the gesture of a user when detecting a triggering command of the user; conducting image-to-text identification operation on the picture information to obtain a plurality of characters, conducting word segmentation on the plurality of characters to obtain a plurality of word groups; acquiring a key word list according to the position of the characters in the word groups on the screen and the position of the word fetching tool on the screen during the picture information intercepting and displaying the key word list; receiving a searching word of the user, conducting searching according to key words in the key word list and displaying a searching result for the user. The method improves user experience, increases the page view of the searched pages, and has quickness, high efficiency and usability. The mobile terminal is further disclosed.

The invention discloses an interactive search method and device, belonging to the field of information retrieval. The method comprises the following steps: obtaining the query words input by a user; determining the intention characteristic values of the query words; and determining the search results according to the query words and the intention characteristic values of the query words. The device comprises a query word module, a characteristic value module and a search module. Through the interactive search mode that people communicate with a search engine, the search engine determines the search results according to the intention of the user rather than the search words and can initiatively question the user in a certain mode, offer the user prompts or options, help the user to determine the current or subsequent intention, and return the search results determined according to the intention chosen by the user to the user; moreover, the search engine can rearrange the search results initiatively, not in a questioning manner, after clearly understanding the intention of the user by collecting the responses (such as clicks, browse and other behaviours) of the user in a certain mode.

There is provided a system and method for providing a recommendation keyword having a high correlation with the content and reflecting the viewers' interests.

A prospective viewer group of the content is generated by a broadcast time and a keyword of a specific broadcast content and a keyword set is generated by selecting keywords having a higher correlation with the content than a threshold value from among search words transmitted by the prospective viewer for a predetermined time period including a time before/after the broadcast time of the content. A keyword for each play time period is extracted from the keyword set by using the number of searches for each keyword therein for each play time period and the recommendation keyword for each play time period is stored, which is synchronized with play time of the content.

Described is a system and method to create an index for a plurality of documents, the index including hash codes corresponding to each word in the plurality of documents, wherein each hash code corresponds to one or more of the plurality of documents, receive a query including a search word, create a search hash code from the search word, compare the search hash code to the hash codes in the index and return the one or more of the plurality of documents corresponding to one of the hash codes matching the search hash code.

The invention discloses a processing method and device of a search result. The method comprises the following steps: acquiring a current search word received in a search box of a client; inquiring to obtain a search result list according to the current search word; returning the search results in the search result list to be displayed on the client, and then monitoring an operation behavior corresponding to the search result; extracting a tag of the search result having the operation behavior, and calculating an online weight value of each tag; inquiring from a historical search log to obtain a historical search result list corresponding to the current search word, and acquiring a historical tag weight value corresponding to the tag of each historical search result; re-sequencing the tags of the search results according to the online weight value and the historical tag weight value, and generating a recommend tag list; and pushing a search result corresponding to the current search word to the client according to the recommend tag list. By adopting the method and device, the technical problem of the prior art that an accurate search result cannot be obtained by virtue of the search method.

The invention provides a video searching method which comprises the steps of: obtaining works information, and establishing a works information database; mapping a video object with a works ID; generating an index according to the works information in the works information database; receiving a searching word; searching the searching word in the index and obtaining a searching result; and outputting the searching result. The invention has the advantages that the video searching method or a video searching system can be used for searching video in caption text information and searching in other information of the video in multiple manners; and the searching result is easier to meet the user requirement. Meanwhile, the invention can be used for unrepeatedly and orderly showing the video searching result to a user in a manner of a result medium page so that the searching interface attractiveness is improved and the user searching efficiency is increased. In addition, the searching resultof the invention in the result medium page can provide user evaluation so as to be convenient to enable the user to rapidly know the quality of the searching result.

The invention provides terminal equipment and a method for updating a word stock thereof. The terminal equipment comprises a storage module, an acquisition module, an updating module and an output module, wherein the storage module is used for storing a first personal word stock of the terminal equipment; the acquisition module is used for acquiring a key word which is relevant to a region in which the terminal equipment is positioned currently; the updating module is used for adding the key word into the first personal word stock; and the output module is used for searching a word corresponding to a current input index from the first personal word stock and outputting the searched word. In the scheme of the invention, the relevant word of the region in which the terminal equipment is positioned currently can be automatically added into the personal word stock of the terminal equipment, so a user can conveniently and rapidly input the word which is relevant to the current region and the input efficiency of the user is improved.

The invention discloses a searching method, which comprises the following steps on establishing and updating index data base: A1.accounting various combination frequencies of the effective entry in the input web text; A2.establishing index for the complex word (the frequency of the complex word is more than setting threshold value). The invention also discloses a searching system. The invention reduces the resolution particle size of the searching word when searching, which reduces the index inquiring times of searching engine and the times of accounting intersection set and union, improves the searching speed of the searching engine, achieves the aim of answering the user quickly, improves availability ratio of the index data base and accuracy ratio of the system searching.

The invention discloses a method and a device for searching commodity information, which are used for solving the problem of more pressure of a server caused by inaccurate search results provided by the server in the prior art. According to the method, all commodity types corresponding to a search word input by a user are determined, so that the preferential commodity types of the user are selected, and a search word is determined again based on the search word input by the user and headwords of all commodities under all the selected commodity types and is used for searching. By adopting the method, the search word input by the user is reconstructed based on the search word input by the user and the headwords of the commodities under the preferential commodity types of the user, and the reconstructed search word not only contains the search intention of the user this time but also contains the preference of the user, so that the accuracy of the obtained search results can be effectively improved by searching based on the reconstructed search word, and thus the pressure of the server is reduced.

The invention provides a topic venation digging method and system based on massive searching logs. The method includes: counting the web searching logs to produce statistic data of a first searching word; counting the statistic data of the first searching word into statistic data of a second searching word; extracting key words of a first statistic record; counting total searching number of the keywords to obtain total searching statistic data of the keywords; calculating a searching heat value of the keywords in unit time; determining a comprehensive searching heat value of a topic in unit time; determining key time nodes of the topic. By the method and the system, topic shift caused by topic correlation can be avoided effectively, and a clear and complete topic venation can be dug out.

The invention provides a search method and a search engine. The search method includes that S1, the search engine acquires a search word; S2, the search engine determines a search result and guide information corresponding to the search word according to the search word, and provides the search result and the guide information in a search result webpage; S3, the search engine acquires users' operation behaviors corresponding to the guide information, and updates the search result and the guide information in the search result webpage according to the guide information corresponding to the users' operation behaviors. By the search method, users can rapidly position needed search words and corresponding search results according to the guide information.

The invention discloses a Chinese label extraction method for clustering search results of a search engine, which comprises the following steps of: S1, inputting search words by a user to form an input document; S2, selecting candidate words, and scoring all the candidate words; S3, judging whether unmarked candidate words exist, if not existing, skipping to a step S8; if existing, selecting a candidate word with highest score, expanding the selected candidate word into a set of ordered word sequences containing the word, and entering a step S4; S4, calculating the frequency of each ordered word sequence, and extracting the high-frequency word sequence; S5, scoring the high-frequency word sequence, and selecting a candidate word sequence; S6, judging whether the candidate word sequence is accepted as a label, if so, entering a step S7, otherwise, returning to the step S3; S7, performing clustering according to the generated label; and S8, completing the operation. The method can reduce noise labels, and the labels have better representativeness, simplicity and integrity.

The invention discloses a kind of method and system for searching and modifying, solving the problem that the current search engine can analyze many wrong searching information which users input correctly, thereby, resulting in searches failing. The method above includes: setting in advance the language model with the search resource; using the relevant correcting operation, correcting every search word input initially, getting many expressions of the relevant search word which including the expression of the initial input; according many expressions of every search word, getting the different assembled-form word serial; using the language model referred above to compute the appearance probability of the word serial, and making the word serial with high appearance probability as the search suggested result. The invention can deal unitarily with many inputting mistakes or incomplete inputting appearing during searching such as spelling mistake, morphology imperfection and so on to reach the aim to correct the search automatically, to help users to use the search engine efficiently.

A system, method and computer program product for implementation of a Aggregate Neural Semantic Network, which stores the relationships and semantic connections between the key search words for each user. The Aggregate Neural Semantic Network processes the search results produced by a standard search engine such as, for example, Google or Yahoo!. The set of hits produced by the standard search engine is processed by the Aggregate Neural Semantic Network, which selects the hits that are relevant to a particular user based on the previous search queries made by the user. The Aggregate Neural Semantic Network can also use the connections between the terms (i.e., key words) that are most frequently used by all of the previous Aggregate Neural Semantic Network users. The Aggregate Neural Semantic Network is constantly updating and self-teaching. The more user queries are processed by the Aggregate Neural Semantic Network, the more comprehensive processing of search engine outputs is provided by the Aggregate Neural Semantic Network to the subsequent user queries.