Patent application number | Description | Published |
20110078127 | Searching for information based on generic attributes of the query - Searching information includes: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; searching in a chosen category for a search result that corresponds to the current query data, the chosen category being one of the plurality of categories and being chosen based at least in part on the plurality of confidence degrees; and returning the search result. | 03-31-2011 |
20120330962 | Method and Apparatus of Providing Suggested Terms - The present disclosure discloses a method of providing suggested terms. The method includes: receiving an initial query input from a user, and obtaining corresponding suggested queries based on the initial query; determining at least two categories corresponding to the suggested queries and at least two clickable regions usable for looking up the suggested queries; separately determining a category weight associated with each obtained category in each clickable region for the suggested queries, and a click attribute weight associated with each clickable region; computing a degree of confidence of each category for the suggested queries; and separately determining target categories for the suggested queries based on the degree of confidence of each category for the suggested queries. As such, the user may quickly identify his/her search intention based on the target categories corresponding to the suggested queries, thereby effectively improving the speed of information searching. | 12-27-2012 |
20130191381 | METHOD AND APPARATUS OF ORDERING SEARCH RESULTS - Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the expected value of the relevancy between the log file and the search request as a value into a search data structure, in response to receiving a search request submitted by a user, finding expected values of relevancy between the submitted search request and log files that are relevant to the submitted search request from the search data structure, and ordering the found log files in a descending order of the expected values. | 07-25-2013 |
20130325857 | Method and Apparatus of Ordering Search Results - Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the expected value of the relevancy between the log file and the search request as a value into a search data structure, in response to receiving a search request submitted by a user, finding expected values of relevancy between the submitted search request and log files that are relevant to the submitted search request from the search data structure, and ordering the found log files in a descending order of the expected values. | 12-05-2013 |
20140040229 | SEARCHING FOR INFORMATION BASED ON GENERIC ATTRIBUTES OF THE QUERY - Searching information includes: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; searching in the selected category for a search result that corresponds to the current query data; and returning the search result. | 02-06-2014 |
20140074851 | DYNAMIC DATA ACQUISITION METHOD AND SYSTEM - Embodiments of the present application relate to a dynamic data acquisition method, a dynamic data acquisition system, and a computer program product for dynamically acquiring data. A dynamic data acquisition method is provided. The method includes extracting a search term from a search request string that is received, looking up the search term in a threshold value dictionary to acquire a dynamic threshold score corresponding to the search term, using the search term as a query condition and the dynamic threshold score corresponding to the search term as a filter condition to acquire, in an index data table, one or more corresponding pieces of index information, acquiring data information corresponding to the search term based on the index information in the index data table, and sending the data information to be displayed in a page of a website. The dynamic threshold score varies based on a characteristic factor. | 03-13-2014 |
20140379329 | METHODS AND APPARATUSES FOR MINING SYNONYMOUS PHRASES, AND FOR SEARCHING RELATED CONTENT - The present disclosure is related to a method and an apparatus of mining synonymous phrases. The method comprises: obtaining, according to a parallel text corpus, a first phrase-alignment relationship from phrases of a current language to phrases of an intermediate language, and a second phrase-alignment relationship from the phrases of the intermediate language to the phrases of the current language; obtaining, for a target phrase of current language, a first set of aligned phrases of the intermediate language that are aligned with the target phrase of the current language based on the first phrase-alignment relationship; obtaining a second set of aligned phrases of the current language that are aligned with selected phrase(s) in the first set of aligned phrases based on the second phrase-alignment relationship; and obtaining synonymous phrases for the target phrase from the second set of aligned phrases. | 12-25-2014 |
20150039604 | Method and Apparatus of Ordering Search Results - Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the expected value of the relevancy between the log file and the search request as a value into a search data structure, in response to receiving a search request submitted by a user, finding expected values of relevancy between the submitted search request and log files that are relevant to the submitted search request from the search data structure, and ordering the found log files in a descending order of the expected values. | 02-05-2015 |