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 |
20110225180 | Guided search based on query model - Providing guided search includes: receiving a new query; processing the new query to obtain a plurality of models, wherein a model indicates a mapping relationship of a previously stored query and corresponding guidance information; determining a corresponding plurality of similarities of the plurality of models relative to the new query; obtaining guidance information in a database comprising a plurality of mapping relationships of previously stored query and corresponding guidance information, including selecting at least some of the plurality of models based at least in part on the similarities and using the selected models as index to search the database; and sending the obtained guidance information to be displayed to a user. | 09-15-2011 |
20110295650 | Analyzing merchandise information for messiness - Analyzing merchandise information includes: receiving merchandise information input by a user; analyzing the merchandise information, including at least obtaining values corresponding to one or more characteristic attributes from the merchandise information, wherein the values corresponding to one or more characteristic attributes are used to determine whether the merchandise information is messy; determining a messiness confidence level associated with the merchandise information based at least in part on the obtained values corresponding to one or more characteristic attributes; and determining whether the messiness confidence level associated with the merchandise information exceeds a preset threshold value; in the event that the messiness confidence level exceeds the preset threshold value, sending an indication to stop publication of the merchandise information and in the event that the messiness confidence level does not exceed the preset threshold value, not sending an indication to stop publication of the merchandise information. | 12-01-2011 |
20110307839 | Implementing website navigation - Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost. | 12-15-2011 |
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 |
20130246456 | Publishing Product Information - The present disclosure provides a method and an apparatus for publishing product information. The present disclosure provides a method for publishing product information. Based on a stored search click log of buyers, correlation information between inquiry words and categories in the search click log is calculated. A keyword input by the seller is matched to the inquiry words. The keyword may be a word or a phrase that includes one or more words. If the keyword is matched to at least one inquiry word, at least one category corresponding to the matched inquiry word is obtained based on the correlation information. The product information is stored under one or more categories of the obtained categories. The present techniques improve the accuracy rate of recommended categories to the seller and the return rate of the published product information. | 09-19-2013 |
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 |
20130339369 | Search Method and Apparatus - The present disclosure provides techniques to solve problems (e.g., the low efficiency and a waste of resources) derived from conventional methods. These techniques may include extracting, by a computing device, the first N keywords appearing the most in target information published by target users as target words, and creating an inverted index based on information on a page of the target users and the target words, wherein the inverted index includes a target field and a page information field, and N is an integer. The computing device may receive an inquiry phrase and determine target users matching the inquiry phrase in the inverted index based on the inquiry phrase. The computing device may calculate a relevance between the matched target users and the inquiry phrase through the target field and the page information field, and return a certain result based on the relevance. | 12-19-2013 |
20130339378 | MULTILINGUAL MIXED SEARCH METHOD AND SYSTEM - Embodiments of the present application relate to a multilingual mixed search method, a system for multilingual mixed searching, and a computer program product for multilingual mixed searching. A multilingual mixed searching method is provided. The method includes receiving a query word entered by a user and identifying source language of the query word, translating the query word from the source language to query words of a plurality of target languages, the plurality of target languages being different than the source language, using the query word in a corresponding target language as a basis for searching an index of web page information corresponding to the corresponding target language and obtaining web page information in the corresponding target language, from the web page information obtained from the index corresponding to the corresponding target language, and translating the obtained web page information from the corresponding target language to the source language. | 12-19-2013 |
20140025668 | Method and System of Ranking Search Results, and Method and System of Optimizing Search Result Ranking - The present disclosure provides techniques to rank search results. The techniques may include acquiring a set of primitive characteristics and extracting effective characteristics from the set of primitive characteristics based on historical transaction data. The effective characteristics include characteristics that can have an influence on ranking of search results. The techniques may also include determining an initial weight of each of the effective characteristics based on the historical transaction data, and training the initial weight using the historical transaction data and a predetermined training model to obtain a final weight. Based on the final weight, the search results may be ranked. In some aspects, the techniques may also optimize the ranking to ensure the objectivity and accuracy of ranking results. | 01-23-2014 |
20140032207 | Information Classification Based on Product Recognition - The present disclosure provides an example information classification method and system based on product recognition. When a request for product recognition is received, one or more candidate product words of product profile information for recognition are determined. One or more characteristics of the product profile information are extracted based on the determined candidate product words respectively. Based on the candidate product words and their corresponding characteristics, the learning sub-model and the comprehensive learning model determine a product word corresponding to the product profile information. The product profile information is classified based on the product word. The present techniques implement automatic classification of the product profile information and improve an efficiency of information classification. | 01-30-2014 |
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 |
20140258844 | SELECTING A NAVIGATION HIERARCHICAL STRUCTURE DIAGRAM FOR WEBSITE NAVIGATION - Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost. | 09-11-2014 |
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 |