241 results about "Personalized search" patented technology

A method for providing automatic, personalized information services to a computer user includes the following steps: transparently monitoring user interactions with data during normal use of the computer; updating user-specific data files including a set of user-related documents; estimating parameters of a learning machine that define a User Model specific to the user, using the user-specific data files; analyzing a document to identify its properties; estimating the probability that the user is interested in the document by applying the document properties to the parameters of the User Model; and providing personalized services based on the estimated probability. Personalized services include personalized searches that return only documents of interest to the user, personalized crawling for maintaining an index of documents of interest to the user; personalized navigation that recommends interesting documents that are hyperlinked to documents currently being viewed; and personalized news, in which a third party server customized its interaction with the user. The User Model includes continually-updated measures of user interest in words or phrases, web sites, topics, products, and product features. The measures are updated based on both positive examples, such as documents the user bookmarks, and negative examples, such as search results that the user does not follow. Users are clustered into groups of similar users by calculating the distance between User Models.

Personalized advertisements are provided to a user using a search engine to obtain documents relevant to a search query. The advertisements are personalized in response to a search profile that is derived from personalized search results. The search results are personalized based on a user profile of the user providing the query. The user profile describes interests of the user, and can be derived from a variety of sources, including prior search queries, prior search results, expressed interests, demographic, geographic, psychographic, and activity information.

The present invention relates to systems and methods that employ user models to personalize generalized queries and/or search results according to information that is relevant to respective user characteristics. A system is provided that facilitates generating personalized searches of information. The system includes a user model to determine characteristics of a user. The user model may be assembled automatically via an analysis of a user's content, activities, and overall context. A personalization component automatically modifies queries and/or search results in view of the user model in order to personalize information searches for the user. A user interface receives the queries and displays the search results from one or more local and/or remote search engines, wherein the interface can be adjusted in a range from more personalized searches to more generalized searches.

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 and apparatus for utilizing user behavior to immediately modify sets of search results so that the most relevant documents are moved to the top. In one embodiment of the invention, behavior data, which can come from virtually any activity, is used to infer the user's intent. The updated inferred implicit user model is then exploited immediately by re-ranking the set of matched documents to best reflect the information need of the user. The system updates the user model and immediately re-ranks documents at every opportunity in order to constantly provide the most optimal results. In another embodiment, the system determines, based on the similarity of results sets, if the current query belongs in the same information session as one or more previous queries. If so, the current query is expanded with additional keywords in order to improve the targeting of the results.

A method comprising receiving a search query to generate a search result of one or more media items and providing a personalized search rank of the one or more media items on the basis of a user profile and an item relevance for a given media item with regard to the query metadata associated with the search result is identified and used to identify at least one related media item. The at least one related media item is ranked on the basis of the user profile and the metadata.

Information retrieval systems face challenging problems with delivering highly relevant and highly inclusive search results in response to a user's query. Contextual personalized information retrieval uses a set of integrated methodologies that can combine automatic concept extraction/matching from text, a powerful fuzzy search engine, and a collaborative user preference learning engine to provide accurate and personalized search results. The system can include constructing a search query to execute a search of a database parsing an input query from a user conducting the search of the database into sub-strings, and matching the sub-strings to concepts in a semantic concept network of a knowledge base. The system can further map the matched concepts to criteria and criteria values that specify a set of constraints on and scoring parameters for the matched concepts. Furthermore, the system can learn user preferences to construct one or more profiles for producing personalized search results.

A system for personalization of searches comprising a network which is accessible by one or more users; a search engine which locates a result set of documents in response to a search query by a user; a personalization engine which pre-processes said search query to return a personalized result set. A network-based search engine database configured to store data which is ranked according to usage, the data being searchable by a search engine; and a method for personalization of searches using the database to return a personalized result set of documents to a user.

Disclosed herein is a system and method, utilizing a proprietary content database and associated support services, for providing comprehensive, customized trip planning and related mapping and routing services.

The various embodiments herein provide a method and system for personalizing information retrieval in a communication network. The method comprising receiving one or more inputs from a plurality of sources, processing information present in the one or more inputs received from the plurality of sources, performing a contextual and personalized search based on the inputs received and displaying one or more results in support of the information in the communication network. The system herein comprising an application server for receiving one or more inputs from a plurality of sources, a processor for performing at least one of processing an information present in the inputs received from the plurality of sources, generating one or more virtual documents based on the processing of the information present in the one or more inputs, performing a search based on the virtual documents generated and a display unit for displaying one or more results.

The invention provides a method for information personalized search and a system. The method of the invention comprises the steps that: a user model and an information model are preset; the user model is obtained by analyzing collected user input information; the user input information is collected and obtained by utilizing an input method system; the inquiry conditions of users are received, and a corresponding record of the users in the user model is obtained; according to the user model and the information model, searching process is adjusted so as to obtain a personalized searching result; and/or according to the user model and the information model, a general searching result is adjusted so as to obtain a personalized searching result. Compared with the traditional method, the method of the invention can collect more accurate and complete personalized information as that information sources of users are input initiatively, not accepted passively, thus obtaining the personalized information files of users and better completing personalized search by analyzing the collected original input information.

A system and method for incorporating user preferences into a document search is provided. User events are associated with one or more content tags based on a comparison of the user event with locations in a content space. The user events are tracked to provide a user event history. The user event history is analyzed to select content tags that correspond to user preferences. A search query is modified to include one or more selected content tags. The search query is then matched to documents associated with content tags contained in the search query.

The invention provides a search method used for providing personalized search for a user of a search client. The personalized search can provide corresponding search results according to an interest model of the user of the search client. The invention is characterized in that the search method comprises the following steps: receiving a search request sent by the search client, wherein the searchrequest contains one search key word or a plurality of search key words; extracting the interest model of the user according to the personalized data of the user; distributing the search key word or aplurality of search key words and the interesting model to one member search device or a plurality of member search devices; receiving search results returned by the member search device or a plurality of member search devices and calculating the corresponding scoring values of the obtained search results according to the interest model; and according to the scoring values, sorting the search results to obtain a final search result, and then returning to the search client. Meanwhile, the invention also provides a search system. The invention enables the search results to be more personalized,thereby being beneficial to popularizing and using the search service.

Method, system, and programs for providing personalized suggest-as-you-type suggestions in response to a user search query wherein the personalized query suggestions are based on the user's past interactions with the system. The system is able to identify frequent queries issued by the user that result in the user clicking on the same universal resource locator.

A method and system for selecting personalized search engines for accessing information is provided. Each personalized search engine represents one or more base search engines. Characteristic information, representing searching capabilities of each of the multiple personalized search engines is obtained. A personalized search engine is selected among the multiple personalized search engines for executing a query based on said characteristic information and the query.

The present invention relates to a system, apparatus and method for implementing a personalized concierge system with an optimized user interface. The present invention adds significant value relative to prior-art LBS systems by providing a group of features that simplifies use of the system, provides personalized search capability, and supports communication of information to other people.

The invention discloses a method for directly realizing personalized search, a device for realizing the method and a search server. The method for directly realizing the personalized search can comprise the following steps of: acquiring an input search key word; acquiring personalized browsing records of search results of the present ID (identity) about the key word; and when the personalized browsing record information of one search result meets a preset condition, directly loading and presenting the search result. According to the method disclosed by the invention, a plurality of search results about the key word cannot be presented, the situation of loading a necessary webpage after the user searches the search results of a search engine is avoided, so that the webpage required by the user is directly loaded and presented, therefore the presentation flow can be simplified, the search process is favorable to be simplified, the interference of invalid information to the user is reduced, the user search efficiency is increased, and the effect of directly realizing the personalized search is achieved.

Computer-implemented methods and systems for searching network information through the use of user identification information, user preference information, and search topic information embedded in predetermined web sites. At least one of the user identification information and the user preference information may be collected from the user through the use of a questionnaire, encrypted, and stored under a user profile. Search information may be received from the user, encrypted, and utilized in performance of the network search by matching at least a portion of the encrypted search information with encrypted search topic information located in the predetermined web sites. The search may include matching at least a portion of the encrypted user identification information and/or the encrypted preference information with the encrypted search topic information located in the predetermined web sites.

The invention discloses a user privacy protection method in personalized information retrieval. The user privacy protection method in personalized information retrieval is a user interest model anonymization method based on difference privacy and aims to remove contradiction between user privacy protection and improvement of personalized information retrieval performance. The user privacy protection method in personalized information retrieval aims to conduct anonymization after identifiers of a user interest model are concealed, and namely after the identifiers (including the ID, the name, the ID number, the SSN and the like of a user) are eliminated, related technologies of the difference privacy are mainly used for anonymizing standard identifiers of the user interest model. Namely, generalization is conducted on the standard identifiers of the user, Laplace noise is added so as to enable difference privacy protection requirements to be met, the inquiry precision of a statistical database is maximized, and the probability of identification of an entity and attributes is minimized. The user privacy protection method in personalized information retrieval can be widely applied to service systems, such as a personalized retrieval service system and a personalized recommendation service system. The invention belongs to the technical field of information and computers.

The invention provides a user behavior-based search method and system. The method includes that a basic search server generates search result pages in accordance with search terms input in a search engine by a user; an ordering server obtains corresponding tags in a pre-generated mapping relationship according to the search terms, tags the search result pages with the tags in the highest similarity with the search result pages, and classifies the search result pages with the same tags into a class; the ordering server obtains an interest class of the corresponding tags of the search result pages in accordance with the correspondence between preset interest classes and web pages, matches pre-generated user interest classes with the classes of the tags, increases the weight value of the search result pages corresponding to matched tags, and pushes the search result pages ordered according to the weight value to the user. According to the technical scheme, the user behavior-based search method and system can provide targeted and personalized search results to the user, thereby improving the search efficiency.

The embodiment of the present invention discloses a search keyword push method and search keyword push device. The method comprises the following steps: acquiring search keywords associated with the reading contexts and scene of a user from at least one data source; estimating the corresponding click rate of the search keywords, and sequencing the search keywords according to the estimated click rate; and pushing the search keywords to a desktop terminal of the user according to a sequenced order. The search keyword push method and device provided by the embodiment of the present invention customize different search keywords for different users, thereby realizing personalized search keyword push.