75 results about "Category specific" patented technology

Targeted advertising content is provided for display in a page over a network in accordance with a technique in which advertisements are selected based on a determination of a user's short-term and long-term behavioral interests. Short-term and long-term information relating to a user's online activities is collected and associated with predetermined interest categories. Based on the collected information, short-term and long-term behavioral interest scores are determined for specific categories. The scores are employed to generate values for use in selecting advertisements. In one embodiment, a short-term score and two long-term scores are determined for one or more interest categories. A first long-term score models awareness with respect to a given category. A second long-term score and the short-term score are response-oriented scores that model the user's interest in making a response with respect to a given category, such as by purchasing a product or service within the category.

Electronic television program guide information is downloaded, stored and searched by a local device. A plurality of linked lists are used to remove redundancy, increase search speed, and allow dynamic categories. When a new category is encountered a new head node for a link list data structure is created. When a first program guide object containing information related to that category is downloaded, a link is made (i.e., a pointer is stored) from the head node to the guide object. When subsequent program guide objects containing information related to that category are downloaded, links are added to the end of the list or inserted in alphabetical order. As guide objects expire the links are removed. When no links remain in a particular category the head node for that category is deleted.

A system for generating a summary of a plurality of documents and presenting the summary information to a user is provided which includes a computer readable document collection containing a plurality of related documents stored in electronic form. Documents can be pre-processed to group documents into document clusters. The document clusters can also be assigned to predetermined document categories for presentation to a user. A number of multiple document summarization engines are provided which generate summaries for specific classes of multiple documents clusters. A summarizer router is employed to determining a relationship of the documents in a cluster and select one of the document summarization engines for use in generating a summary of the cluster. A single event engine is provided to generate summaries of documents which are closely related temporally and to a specific event. A dissimilarity engine for multiple document summary generation is provided which generates summaries of document clusters having documents with varying degrees of relatedness. A user interface is provided to display categories, cluster titles, summaries, related images.

A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

A method and apparatus for selecting additional content to display to a user when the user requests base content is provided. A user profile of the user having user interest scores of categories or keywords is received, each user interest score reflecting the degree of interest the user has in the category or keyword. Performance scores reflecting the probability that a user having particular user interest scores will select additional content associated with particular categories or keywords is also received. In addition, revenue amounts associated with each category or keyword of the user profile is received. The user interest scores, performance scores, and revenue amounts are used to produce an expected revenue amount for each category or keyword in the user profile. Additional content to be sent to the user is then selected using the determined expected revenue amounts.

A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

A computer-implemented system provides a browse tree in which items represented within a database are arranged within a hierarchy of item categories. Each time a user selects an item, an amount of credit is cumulatively assigned to the ancestor nodes (categories) of the selected item. The amount of credit assigned to a particular category of the browse tree over time for a given user represents the user's predicted affinity for that category. The user's relative preferences for some or all of the categories are predicted by calculating differences between the user's predicted affinities for such categories and the predicted affinities of a population of users for such categories. Scores reflective of these relative category preferences are in-turn used to provide personalized recommendations or other personalized content to the user.

An information retrieval system finds information in a Distributed Information System (DIS), e.g. the Internet using query learning and meta search for adding documents to resource directories contained in the DIS. A selection means generates training data characterized as positive and negative examples of a particular class of data residing in the DIS. A learning means generates from the training data at least one query that can be submitted to any one of a plurality of search engines for searching the DIS to find "new" items of the particular class. An evaluation means determines and verifies that the new item(s) is a new subset of the particular class and adds or updates the particular class in the resource directory.

A classifier training system trains adapted classifiers for classifying videos based at least in part on scores produced by application of text-based classifiers to textual metadata of the videos. Each classifier corresponds to a particular category, and when applied to a given video indicates whether the video represents the corresponding category. The classifier training system applies the text-based classifiers to textual metadata of the videos to obtain the scores, and also extracts features from content of the videos, combining the scores and the content features for a video into a set of hybrid features. The adapted classifiers are then trained on the hybrid features. The adaption of the text-based classifiers from the textual domain to the video domain allows the training of accurate video classifiers (the adapted classifiers) without requiring a large training set of authoritatively labeled videos.

Various embodiments of a system, methods, server, client, and graphical user interface to displaying on map interface, place(s) associated with particular location of place wherein places including current, nearest, nearby, category specific, searched and any combination thereof for enabling user to select or identify specific place or place of business on map and view associated standardized and integrated payment user interface with / in said selected or identified place or place icon or place user interface which enable user to make entered or inputted or selected or displayed or pre-set or default or pushed particular amount of payment from user's account to said selected or identified place associated automatically identified merchant's account, without the user having to enter the account information related to merchant.

System for updating filtering rules for messages received by a plurality of users including a filtering rules database storing filtering rules for the users; means for distributing the filtering rules to the users; a user reputation database comprising a reputation weight for each user; and means for receiving and processing of user reports that indicate that a message belongs to a particular category. The means for receiving (i) calculates a message weight in its category based on a number of reports received from multiple users and a reputation weights of those users, (ii) decides whether the message belongs to the particular category if the message weight exceeds a predefined threshold, (iii) updates the filtering rules in the filtering rules database based on the deciding, and (iv) distributes the updated filtering rules from the filtering rules database to the users using the means for distributing.

Computer-implemented methods are described for, first, characterizing a specific category of information content—pornography, for example—and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and / or phrases, is formed by statistical analysis of a number of samples of datasets characterized as “containing,” and another set of samples characterized as “not containing,” the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or “training data.” Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

The present disclosure relates to a method and apparatus for classifying pixels in an input image and image processing system. The apparatus includes a first confidence determination unit configured for determining a first confidence of each of the pixels in the input image belonging to each of a plurality of predetermined classes; a detection unit configured for acquiring, by using a detector for detecting a particular class among the plurality of predetermined classes, detection results used to indicate pixels which belong to the particular class; an updating unit configured for updating the first confidences according to the detection results; and a class determination unit configured for determining the class to which each of the pixels in the input image belongs among the plurality of predetermined classes, according to the updated first confidences.

A system and method is provided to assist a user in selecting, identifying, and handling email messages. A selection color module may provide for the display of color coding and selection highlighting. The selection color module may provide a secondary highlighting color to indicate messages related to a selected message. A category navigation module may provide one or more of the following: an indicator that provides the user with a number of items that are off the screen for a particular category, a command that causes the first entry for a category to be scrolled into view, a label to indicate the number of items in a particular category matching a particular criteria, and / or a control for scrolling between next or previous categories.

A model and system employing the model provides an organized structure for storing, displaying, and navigating content data regarding instruments for market driven industries (i.e., securities). A Market Research Model (MRM) paradigm is used to represent elemental concepts, a plurality of specific classes of entities form the MRM, and an interface is used to assemble, maintain, and interact with the model. Information may be added to the model by a research provider and provided to an end user on a subscription basis. The user is provided with an interconnected, navigable model of an item of interest for research and decision-making support.

Methods and apparatus for distributing processor-executable apps are disclosed. The method includes receiving an app from a developer, categorizing the app so as to associate the app with a particular category, combining the app with other apps that are associated with the particular category so as to create a collection of apps that are associated with the particular category, offering access to the collection of apps in return for compensation, and compensating the developer responsive to receiving the app.

The present invention proposes a solution to the problem of word lexical disambiguation in Arabic texts. This solution is based on text domain-specific knowledge, which facilitates the automatic vowel restoration of modern standard Arabic scripts. Texts similar in their contents, restricted to a specific field or sharing a common knowledge can be grouped in a specific category or in a specific domain (examples of specific domains; sport, art, economic, science . . . ). The present invention discloses a method, system and computer program for lexically disambiguating non diacritized Arabic words in a text based on a learning approach that exploits; Arabic lexical look-up, and Arabic morphological analysis, to train the system on a corpus of diacritized Arabic text pertaining to a specific domain. Thereby, the contextual relationships of the words related to a specific domain are identified, based on the valid assumption that there is less lexical variability in the use of the words and their morphological variants within a domain compared to an unrestricted text.

Various embodiments of the present invention include information-aggregation-and-classification components of content-search-service systems which acquire information from information sources, aggregate and normalize the acquired information, and classify the acquired information prior to storing the normalized and classified information for use by language-model-builder components and ontology-builder components of the content-search-service systems. Additional embodiments of the present invention include the ontology-builder components, which builds ontologies from the normalized and classified information for specific dates, date / times, date ranges, or date / time ranges and for specific categories.

This invention discloses a judgment method for electronic document and related degree of a field and uses the technical degree in a search tool and / or engine to get the effect of sorting file information and / or filtration and / or blockage including: carrying out searching for the key phrases and key words pick up by a search tool or engine system in a speciality character code library / blockage character code library to get a corresponding preset trade character degree for weighted average then to multiply a trade character ratio to get a speciality degree to be used in the search field to increase the executing efficiency and quality of search result or provide the search result meeting the blockage strategy or specific kind.

A system and method is provided to assist a user in selecting, identifying, and handling email messages. A selection color module may provide for the display of color coding and selection highlighting. The selection color module may provide a secondary highlighting color to indicate messages related to a selected message. A category navigation module may provide one or more of the following: an indicator that provides the user with a number of items that are off the screen for a particular category, a command that causes the first entry for a category to be scrolled into view, a label to indicate the number of items in a particular category matching a particular criteria, and / or a control for scrolling between next or previous categories.

An ad server and syndication system provides a browsable hierarchy of categories, such as topical ad categories and / or product categories, with which specific ads may be explicitly associated. A first user interface provides functionality for advertisers to browse the hierarchy, and to post ads in association with specific ad categories. A second user interface provides functionality for web site operators wishing to host ads on their web sites to select or exclude specific categories of ads to host. In one embodiment, a web site operator that sells a particular category of products can locate that product category within the hierarchy, and then select from a corresponding list of product-related-services that may be advertised on web pages associated with such products.

A system and method for extracting information from business applications in real time is provided. The method comprises the steps of obtaining a message from the business applications, identifying and categorizing a business process context of the message, storing the business process context of said message, correlating the message based on said business process context with stored business process contexts to create a life cycle, and publishing the life cycle as processed data. The message can be pre-processed and data can be extracted from the message. A plug-in, a message sniffer, and a subscription for specific categories published by business applications can be used to get the message from the business applications. The message can be identifying and categorizing using configurable rules, and a correlation engine having pre-defined algorithms can be used to correlate the message with other messages.

Some embodiments provide a method for generating a recurring search for a research system that identifies documents as relevant to particular categories. The method generates a set of categories to include in the recurring search based on an identified user objective and an initial category by using relationship data that defines several different types of relationships between several different categories. The recurring search identifies documents from a particular period of time identified as relevant to the set of categories. The method identifies an optimal set of filters for removing specific types of documents that are relevant to the set of categories from the recurring search.

A navigation and cataloging system is described. In one embodiment, the navigation and cataloging system comprises a database and a server. The database stores content that is associated with a combination of locational information from a series of diagrams (which function as decision trees or flow diagrams) and from standardized, but specific categories of information typically sought by users of that particular type of information (e.g., technology, law, medicine, travel, etc.). Each location on the diagram is cross-indexed with a category of information and that combination leads to specific information being requested from the database. The server retrieves content in response to a request. The request has a context based on which diagram is showing on a display, a selection of a location on the diagram, and a selection of the category of content. In its cataloging role, the system provides the context, and thereby the unique location, to which content can and should be associated.

Users belonging to a particular category at a networking site are monitored by a system and according to a method for their selection of articles from a networking update stream. The characteristics of the users, including the categories they belong to, are received as metadata corresponding to the each respective article. Periodically an article database is queried according to the category and a selected time period to determine the number of users that have chosen to follow the industry and that have initiated selection actions towards articles in the database. Articles from the query are ranked according to their popularity among users having interest in the same industry category and are presented to a viewing user at the networking site.

A method for computer assisted planning of a technical system with a first structure of multi-category objects is provided. Each multi-category object describes a technical component and includes a plurality of facets. Each facet is of a specific category and refers to information about the technical component. Categories of a multi-category object refer to different disciplines for designing a technical system. The disciplines include mechanical, electrical and automation engineering. Further, a second structure of a specific category is provided and has category-specific elements. Each category-specific element describes a technical component with respect to the corresponding specific category. Each facet of a specific category of a multi-category object describing a technical component in the first structure is related to a category-specific element of the specific category describing the technical component in the second structure. The first and second structures are changeable by a user during planning of the technical system.

A method for ascertaining routes in a route network is provided, in which an optimal route to a target of a certain category can be determined. A route is calculated from a point of origin to an optimal target point from a plurality of spatially separated target points that are allocated to at least one directed segment and / or to at least one node. The method includes defining the target points from entries of addresses, map targets, target memory entries given by an index of a given category, such as, for instance, post office, gas stations. The respective route to the target point is optimized as a sequence of the directed segments having nodes situated between the directed segments such that the sum of all resistances of the sequence to the respective target point becomes a minimum. A list of the respective routes to the respective target point is then drawn up.

An advertisement filtering method and device. The method comprises: access a web page by using a browser, acquire a selector of an advertisement element according to a domain name of the web page, and add a rule statement for hiding the advertisement element after the selector to generate a CSS style of a specific category (S10); inject the CSS style of the specific category into the browser (S11); set a cascading priority of the CSS style of the specific category to a highest cascading priority (S12); and the browser performs cascading on the CSS styles according to an order of the cascading priority of the CSS style to enable the CSS style of the specific category to take effect (S13). In this way, in a case in which an author uses a counter advertisement filtering method, an advertisement from the author can still be effectively filtered.

The invention discloses a domain adaptive target detection method and system considering category semantic matching. The method comprises the following steps: step 1, acquiring a source domain image with a label and a target domain image without a label; step 2, training by using the source domain image with the label to obtain a pre-trained basic target detector; step 3, adding a domain self-adaptive component on the pre-trained basic target detector, and performing training by using the source domain image with the label and the target domain image without the lable to obtain a trained domain self-adaptive target detection model; and step 4, removing the added domain adaptive component, and performing target detection on the target domain scene by using the trained domain adaptive target detection model. According to the domain adaptive target detection method and system, the problem of semantic matching of specific categories of two domains in cross-domain target detection is considered, and the problem of wrong alignment of the target categories of the source domain and the target domain in a shared category space is avoided, so that the detection performance of a target detection model on the target domain is further improved.

Systems and methods for collecting, classifying, transmitting and updating personal information for completion and submission or supplementation of electronic forms or databases on any type of mobile or other computing device are provided. Information relating to a user is obtained from one or more sources through electronic means, and the information is then organized and securely stored in a database using field mapping and other techniques to classify the information into specific categories. The information that is obtained and organized may include contact information, financial information, health information and historical information. The organized information may then be accessed by the user to automatically and instantaneously populate or supplement an electronic document, form or web-based application without requiring the user to manually enter the information. The system automatically detects and stores updates to information and builds a database of forms and electronic documents for future use.