290 results about "Query log" patented technology

A method, system, and computer program product for performing searching that generates improved queries, retrieves meaningful and relevant information, and presents the retrieved information to the user in a useful and comprehensive manner is described. The method of searching comprises the steps of: receiving from a user a search query requesting information, retrieving at least one recommendation relating to the search query, generating an expanded query based on the received query, performing a search using the expanded query to retrieve documents, and generating themes relating to the retrieved documents. The at least one recommendation relating to the search query is retrieved from a recommendation database. The recommendation database is generated by performing the steps of: performing data mining using users search query logs, user search patterns, and user profile information to generate a plurality of recommendations relating to search query strings, generating a data structure including the recommendations relating to search query strings, and generating a text index based on information in the data structure.

The system implements a novel method for personalized filtering of information and automated generation of user-specific recommendations. The system uses a statistical latent class model, also known as Probabilistic Latent Semantic Analysis, to integrate data including textual and other content descriptions of items to be searched, user profiles, demographic information, query logs of previous searches, and explicit user ratings of items. The system learns one or more statistical models based on available data. The learning may be reiterated once additional data is available. The statistical model, once learned, is utilized in various ways: to make predictions about item relevance and user preferences on un-rated items, to generate recommendation lists of items, to generate personalized search result lists, to disambiguate a users query, to refine a search, to compute similarities between items or users, and for data mining purposes such as identifying user communities.

A method to produce a list of documents retrieved from a search engine, ranked according to their relevance to search terms, includes interleaving the lists resulting from two searches. The first search is one that occurs over documents where the list is ranked using a first probabilistic ranking algorithm. The second list is a list of documents obtained by searching over a query log of prior searches using the same search terms. The second list is ranked according to a second probabilistic algorithm. Interleaving of the two lists includes eliminating duplicate occurrences of documents and appending the remaining documents to the end of the interleaved list if the two lists of individual search results differ in length. The interleaved list may then be presented to a user for review.

The present invention leverages query-related information based on a query and/or a search intention to provide a systematic means to facilitate a user in locating desired information despite lacking exact search parameters. This allows users to find information without first formulating an optimum search query. The query graph provides a navigable, graphical notion of the query-related information via nodes representative of the query-related information and edges representative of the associations between the information. In one instance of the present invention, the query graph is derived from an information source such as a query log, a query list, and/or a search engine and the like. Additional instances of the present invention utilize visual and/or audible indicators employed with the query graph to facilitate in relaying the query-related information to the user, including, but not limited to, overlays, icons, colors, and dimensional variances and the like.

Methods, articles of manufacture and a system for providing query suggestions using a query log that includes a number of user sessions. The sessions comprise training data including a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. The query log is cleaned and normalized. From the cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets is generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the level are included as elements of the set of query suggestions that meet the predetermined assurance level. The set of query suggestions are mixed and ranked in accordance with a user behavior sought to be optimized.

A method, computer readable medium and system are provided which collect new words for addition to a lexicon for an agglutinative language. In the method, a log of queries submitted to a search engine is obtained. The log of queries is sorted to obtain sorted queries. The sorted queries are then filtered using a plurality of heuristic criteria to obtain a candidate list of new words. Words from the candidate list of new words are then added to a lexicon.

To accurately classify a query as navigational, thousands of available features are explored, extracted from major commercial search engine results, user Web search click data, query log, and the whole Web's relational content. To obtain the most useful features for navigational query identification, a three level system is used which integrates feature generation, feature integration, and feature selection in a pipeline. Because feature selection plays a key role in classification methodologies, the best feature selection method is coupled with the best classification approach to achieve the best performance for identifying navigational queries. According to one embodiment, linear Support Vector Machine (SVM) is used to rank features and the top ranked features are fed into a Stochastic Gradient Boosting Tree (SGBT) classification method for identifying whether or not a particular query is a navigational query.

The invention discloses a method and system for recommending query based on user log. The method comprises acquiring an effective query log set according to the data set in the user log; selecting a typical query string as the training set, extracting 6 characteristic indexes of each query string in the effective query log set, such as support degree, popularity, recommendation degree, co-occurrence degree, similarity, and association degree, and constructing a composite prediction model based on the training set; and extracting the 6 characteristic indexes of candidate query strings inputted by a user, inputting the extracted characteristic indexes into the composite prediction model as variables, calculating the relevancy between each candidate query string and a given query string, and outputting n query strings with higher rank. The system comprises a data preparation module, a prediction model construction module, and a processing output model for realizing the above method. By fully utilizing the user log of a search engine, the method and system can recommend query strings with higher quality for the user.

Various processes are disclosed for conducting database searches by telephone. A user is initially prompted to utter N characters of a search query, and/or to enter these characters on a telephone keypad. Based on the user's entry, a speech recognition grammar is either selected or is generated dynamically for processing the user's utterance of the complete search query. In one embodiment, the speech recognition grammar is selected based on a sequence of N telephone keys selected by the user, without requiring the user to uniquely specify the N characters to which these keys correspond. In another embodiment, the speech recognition grammar is selected based solely on utterances of the N characters by the user such that the correct grammar is selected even if an utterance of one character is misidentified as an utterance of a similar sounding character. Also disclosed are methods for generating speech recognition grammars from query logs.

A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to, for example, train the search algorithms or heuristics to arrive at better or more accurate results.

In a method of forming a target error model to facilitate correcting or suggesting corrections to misspelled input text related to a target data collection, a source query log containing user queries to at least one source data collection is provided. Next, target relational data is generated based on the source query log including corrective substring suggestions that relate to the target data collection and corresponding misspelled substrings extracted from the source query log. A target error model is then built using the target relational data. The target error model includes target statistical occurrence data for the substrings of the target relational data derived from the source query log. Finally, the target error model is stored on a computer readable medium. Additional embodiments of the invention are directed to a system configured to implement the method.

The invention provides a word vector training method and device. The method comprises the following steps: an internet webpage is captured, and training language materials are acquired and stored in a corpus; each training language material in the corpus is subjected to word segmentation, and an orderly word set corresponding to each training language material is obtained; a word list is established according to pre-collected user query logs; the training language materials stored in the corpus are distributed to nodes of a distributed word vector learning model; the distributed word vector learning model is configured to perform periodic word vector training on each word in the word list, and the word vector corresponding to the word in the word list is obtained. According to the word vector training method and device, the word vectors obtained through training can be well applied to search business, and fast iterative high-quality word vector training can be realized.

A system and method for automated search engine optimization (SEO) are disclosed. The automated SEO may analyze search query logs, or a search log database to determine popular concepts/units which may be automatically utilized to optimize a site or page for search engine results. The site or page is edited based on the automated SEO. In particular, the search log database may provide a unit frequency list reflecting the popularity of various units. The more popular units that are related to the content of the page may be used in the automated SEO of the page. The unit frequency list may be compared with the existing units of a page, so that the more popular concepts within the page may be emphasized.

The invention is applicable to the technical field of network information management and maintenance and provides a log management method. The log management method includes the steps of log saving and log inquiry. In the step of log saving, logs are classified according to different type, grade and/or time slot and then saved to different log sheet of a database. In the step of log inquiry, after log inquiry requests containing the logs with the specified type, grade and/or time slot is received, the logs are inquired in the corresponding log sheets. Correspondingly, the invention provides a log management system. Logs are saved and managed according to clear type, grade and/or time slot, log management is enabled to be efficient, clear, flexible, complete and traceable.

The invention provides a distributed DNS inquiry log real-time statistic device. The device comprises a site log server and a center log server, wherein the site log server comprises a data receiving processing module used for receiving a DNS request of the current site and extracting statistic object data of the logs from the DNS request, a statistic module used for counting the statistic objectdata of the logs in real time and buffering the corresponding statistic results, and a response module used for responding to a real-time log inquiry request of the center log server and feeding the statistic results corresponding to the request back to the center log server; and the center log server is used for collecting and processing the statistic results fed back by the log servers of all sites. The device can realize the global and huge data quantity real-time statistic analysis of the inquired logs based on the distributed type structure of the DNS.

A method and system for assessing the quality of one or more search engines are provided. The method and system monitor reformulation sessions by users (201) of a search engine (308, 402, 403) by retrieving data from a query log (307, 407, 408), wherein a reformulation session is a series of at least two queries to a search engine (308) issued by a user (201) to satisfy a single information need. The method and system then determine a reformulation session parameter for the search engine (308, 402, 403) and analyse the reformulation session parameter. The reformulation session parameter may be a rate of query reformulations in a reformulation session or a reformulation session duration. Analysing the reformulation session parameter for a single search engine may determine if the parameter changes with time or may determine the parameter with different settings in a single search engine. Analysing the reformulation session parameter for two or more search engines includes comparing the parameters of the two or more search engines to measure the search quality. The analysis can be used to control the operation of one or more search engines.

The present invention provides systems and methods that employ a statistical distributional analysis to improve content search engine search results. In particular, a substring and/or a string sequence distributional algorithm can be applied to a set of queries to generate a distributional characteristic (e.g., a profile) for the set of queries, wherein the set is selected from a plurality of queries stored on a query log. Typically, the queries are selected based on a substring of interest and/or an identification of a user initiating searches. The distributional characteristic can then be employed to determine a distributional similarity measure that can be utilized in connection with a search to facilitate search results via providing a mechanism to determine synonymous search terms, spelling corrections/variations, and facilitate collaborative filtering, for example. Thus, the present invention employs a novel technique that mines and employs previous queries to enhance the query search results.

Methods and systems for database migration from a multitenant database include taking a snapshot of an original database to be migrated with a hot backup process, such that the database is still capable of answering queries during the hot backup process; maintaining a query log of all queries to the tenant database after the hot backup process begins; initializing a new database at a target server using the snapshot; replaying the query log synchronize the new database with the original database; and answering new queries with the new database and not the original database.

The present invention provides a method and system for automatic objects classification. The method comprises: acquiring a set of objects; classifying the objects based on query log to generate a first classification result; classifying the objects based on ontological information to generate a second classification result; and semantically fusing the first and second classification results to generate a final classification result. According to the present invention, compared with the prior arts, by semantically fusing the query log-based classification result and the ontology-based classification result, the accuracy and user-friendness of the object classification can be improved.

The invention provides a method and a device and a system for supporting the ultimate consistency of a micro-service architecture transaction. The method for supporting the ultimate consistency of the micro-service architecture transaction used for a transmitting end comprises the steps that a service call is initiated, the logs are recorded, when the logs are written with actions, uninitiated service calls or logs with not returned results when the specified time is exceeded are checked regularly, and call requests are sent; the returned receipt information is received, the log records are queried, the call treatments are judged whether or not they have been completed according to the log status, if the calls are being treated, the returned results are called, and corresponding transaction interfaces are called according to the returned results, service calls are continually initiated, then through the method for supporting the ultimate consistency of the micro-service architecture transaction used for the message queueing services and the payments of a receiving end, asynchronous data calls for services are achieved through the logs and the message queueing, and the ultimate consistency of inter-service data is finally achieved.

A system and related methods for configuring and monitoring a spraying application system for installation and use at a site that is remotely located from the spraying system manufacturing site. The system provides a remote access module that provides spraying system operation and parametric information to be monitored at the manufacturing site to determine how the spraying system is operating and whether repair or maintenance should be initiated. Timer circuits are provided for determining time of usage so that repair/replacement alerts can be issued. Safety related parameters may also be monitored as a backup to the primary monitoring performed at the customer's site. The system also provides an extranet or other suitable site available, for example, via the Internet or other communication link, is used to provide an accessible database for historical data and configuration/installation information. A call-in feature is also provided as well as a system query log.

The invention discloses a method for recording logs, which comprises the following steps: current time, module information, log data and logging level for forming log records are obtained; and then, when the logging level meets the predetermined level conditions, the log records are written into a log file. The invention ensures that the efficiency for inquiring log by a user is improved on the basis of ensuring log recording efficiency, and the storage space occupied by blogs can be saved.