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<title>freepatentsonline.com: Data processing: artificial intelligence</title>
<link>http://www.freepatentsonline.com/result.html?query_txt=ccl/706%20and%20isd/11/12/2009&amp;usapp=on</link>
<description>USPTO Class 706 Data processing: artificial intelligence</description>
<language>en-us</language>
<lastBuildDate>Thu, 12 Nov 2009 03:32:27 EST</lastBuildDate>

<item>
<title><![CDATA[APPARATUS, AND AN ASSOCIATED METHOD, FOR QUANTIFYING A QUALITY OF A USE CASE]]></title>
<link>http://www.freepatentsonline.com/y2009/0281968.html</link>
<description><![CDATA[A use case quality index tool, and an associated method, analyzes the specifications of use cases. Determinations are made of conformity of a use case with use-case quality rules. And, a calculator calculates a use case quality index value that quantifies the conformity of the use case to the use-case quality rules.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[VIRTUAL ROBOT INTEGRATION WITH SEARCH]]></title>
<link>http://www.freepatentsonline.com/y2009/0281966.html</link>
<description><![CDATA[An arrangement for virtually integrating a bot with a search functionality provided by an online search engine enables users of personal computers (“PCs”), mobile phones, and other devices to locate bot content in response to their search queries. The virtual integration enables bot content to be surfaced via the search engine. In response to a query, the search engine may return search results including links to one or more bots that are located on a presence-based network. When the user clicks on a link, a client application is launched on the PC or device that enables the user to converse with the bot using a natural language interface. The virtual integration also provides the bot with context of the user's last known query, or the query history. The bot can then start the conversation at a specific point within the bot's content hierarchy to respond to and answer the user's query.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Decision Tree Representation of a Function]]></title>
<link>http://www.freepatentsonline.com/y2009/0281969.html</link>
<description><![CDATA[An arbitrary function may be represented as an optimized decision tree. The decision tree may be calculated, pruned, and factored to create a highly optimized set of equations, much of which may be represented by simple circuits and little, if any, complex processing. A circuit design system may automate the decision tree generation, optimization, and circuit generation for an arbitrary function. The circuits may be used for processing digital signals, such as soft decoding and other processes, among other uses.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[SYSTEM AND METHOD FOR CLASSIFYING DATA STREAMS WITH VERY LARGE CARDINALITY]]></title>
<link>http://www.freepatentsonline.com/y2009/0281971.html</link>
<description><![CDATA[Systems and methods for object classification are provided. An object is identified along with the attributes that describe that object. These attributes are grouped into attribute patterns. Classes to be used in the classification are also identified. For each identified class a sketch table containing a plurality of parallel hash tables is created and trained using known objects with known classifications. For the object to be classified, each attribute pattern is processed using the all of the hash functions for each sketch table. This results in a plurality of values under each sketch table for a single attribute pattern. The lowest value is selected for each sketch table. The distribution of values across all sketch tables is evaluated for each attribute pattern. This produces a discriminatory power for each attribute pattern. Those attribute patterns having a discriminatory power above a given threshold are selected. The selected attribute patterns and associated sketch table values are added. The sketch table with the largest overall sum is identified, and the class associated with that sketch table is assigned to the object to which the attribute patterns belong.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[ADAPTIVE LEARNING FRAMEWORK FOR DATA CORRECTION]]></title>
<link>http://www.freepatentsonline.com/y2009/0281972.html</link>
<description><![CDATA[Architecture that employs adaptive learning algorithms to adapt a data correction tool to user-specific behavior during runtime. The architecture includes a framework for training and measuring adaptive learning algorithms, adapting the current text correction tool codebase, and one or more different adaptive learning algorithms. This enables a text correction system to adapt the behavior of the text correction system to an individual user based on the user's interaction with the data correction system. This also facilitates the testing and improvements in an adaptive learning algorithm at the vendor before shipping in a product to the end-user. This reduces the risk of shipping a feature the precise behavior of which is different for each user.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[System and process for boosting recommendations for use in providing personalized advertisements to retail customers]]></title>
<link>http://www.freepatentsonline.com/y2009/0281973.html</link>
<description><![CDATA[A system and process for incorporating recommendation boosting in an automated recommendation system includes receiving recommendation boost instructions, receiving a request for one or more recommendations, receiving a set of recommendations from one or more automated recommendation systems, with each recommendation system utilizing selection models or user models and modifying the set of product recommendations according to the recommendation boost instructions.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[RECOMMENDING SIMILAR CONTENT IDENTIFIED WITH A NEURAL NETWORK]]></title>
<link>http://www.freepatentsonline.com/y2009/0281975.html</link>
<description><![CDATA[Methods, systems and computer-readable media for finding similarities between visual objects by evaluating user interactions with a collection of visual objects are provided. Using a neural network, human interactions with a collection of visual objects are evaluated to ascertain relationships or connections between visual objects. The relationship between visual objects indicates that the visual objects are similar. Once relationships between visual objects are identified, a user may select one or more visual objects and receive suggested visual objects that are similar to the one or more visual objects selected by the user.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[DEVICE-INFLUENCED TABLE FORMATTING]]></title>
<link>http://www.freepatentsonline.com/y2009/0281976.html</link>
<description><![CDATA[A server includes a logic subsystem and memory. The memory holds instructions that, when executed by the logic subsystem, cause the logic subsystem to determine if a table is wider than a viewing size of a screen of a requesting device, determine if the table is a data table or a layout table, and format an instance of the table prior to sending that instance of the table to the requesting device. The instance of the table sent to the requesting device is formatted in accordance with a determined viewing size of the screen of the requesting device and in accordance with a determined table type.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[CHECKING RULE AND POLICY REPRESENTATION]]></title>
<link>http://www.freepatentsonline.com/y2009/0281977.html</link>
<description><![CDATA[A computer-performed method of examining policies for a target system of an enterprise system domain. The policies are represented as policy rules, each rule including a condition having binary operator expression(s), each expression referring to one or more policy attributes. For a pair of expressions, the computer(s) obtain sets of sample values sufficient to represent all values assumable by the policy attribute(s) referred to in the pair. The sample values are combined in a mixed-radix enumeration in which each attribute is represented in a corresponding position of each sample value combination and of the enumeration. Using the enumeration, the computer(s) evaluate each expression of the pair relative to each of the sample value combinations to obtain a truth table. Based on the truth table, a relationship between the pair is detected and the user may be notified as to an anomaly in the rules.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Discriminant Forest Classification Method and System]]></title>
<link>http://www.freepatentsonline.com/y2009/0281981.html</link>
<description><![CDATA[A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[DATA DRIVEN COMPONENT REPUTATION]]></title>
<link>http://www.freepatentsonline.com/y2009/0281819.html</link>
<description><![CDATA[Various technologies and techniques are disclosed for observing the real-world performance of components and using the collected data to improve other user experiences. Configuration data, usage data, and user experience data are collected for components on observed solution instances. The configuration data, usage data, and user experience data are analyzed to generate component diagnostic data that can be used to make recommendations to one or more advised solution instances as to how to correct a problem being experienced on the one or more advised solution instances. In one implementation, the component diagnostic data generated includes a reputation rating for each of the components.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Systems, devices, and methods for detecting occlusions in a biological subject]]></title>
<link>http://www.freepatentsonline.com/y2009/0281413.html</link>
<description><![CDATA[Systems, devices, and methods are described for detecting an embolus, thrombus, or a deep vein thrombus in a biological subject.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[COMMUNICATION DASHBOARD WITH DYNAMICALLY CONFIGURED AGENT INTERFACE]]></title>
<link>http://www.freepatentsonline.com/y2009/0281967.html</link>
<description><![CDATA[The method and system of the present invention include, responsive to a receipt of a customer input, customizing an agent interface menu. The customizing includes selecting a plurality of action items for the agent interface menu, and ordering the plurality or more action items in the agent interface menu. The customizing is performed using the customer input and an item of stored customer information. The method further includes presenting an item of the customer input in an agent interface. The agent interface includes the agent interface menu, a communication window, and a customer attributes display. Responsive to a selection of one of the plurality of action items, wherein the plurality of action items is presented by the agent interface menu, an input field in a form provided in support of an action selected from the agent interface menu is populated with the customer input received from the customer interface.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[AUTOMATED TAGGING OF DOCUMENTS]]></title>
<link>http://www.freepatentsonline.com/y2009/0281970.html</link>
<description><![CDATA[An automated technique for tagging documents includes using a semantic tagger to generate an annotation that associates a standard tag with a first text fragment of the user-defined document, wherein the tagger is trained on a standard document annotated with a standard tag, associating the first user-defined tag with a second text fragment of the user-defined document in response to the second text fragment matching a value associated with the first user-defined tag, and establishing a mapping between the standard tag and the first user-defined tag in response to existence of a requisite correlation between the standard tag and the user-defined tag. The technique may further include selecting from the user-defined document a tagged text fragment that is associated with a second user-defined tag, and providing the tagged text fragment and a standard tag associated by the mapping with the second user-defined tag to the tagger as additional training input.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[LIFESTYLE IMPROVEMENT SUPPORTING APPARATUS AND LIFESTYLE IMPROVEMENT SUPPORTING METHOD]]></title>
<link>http://www.freepatentsonline.com/y2009/0281980.html</link>
<description><![CDATA[To provide a lifestyle improvement supporting apparatus and a lifestyle improvement supporting method which can offer appropriate advice corresponding to a performance state of lifestyle improvement carried out by a subject.  An objective information receiving unit ( 120 ) receives objective information (an average urinary sodium level of the current month) relating to a subject, from the subject (S 301 ), and calculates a difference (=A) in the average values between the current month and the previous month. A test result receiving unit ( 110 ) receives a test value (a blood pressure value) of the subject from the subject (S 302 ), and calculates a difference (=B) in the blood pressure value over one month. A test result judgment unit  130  evaluates a lifestyle improvement activity on the basis of the calculated values A and B. The lifestyle improvement activity is evaluated according to combinations (four patterns) of the differences A and B (S 303 ), and then advice corresponding to the evaluation result is presented (S 304  to S 320 ).]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Overconstraint Detection, Rule Relaxation and Demand Reduction in a Combinatorial Exchange]]></title>
<link>http://www.freepatentsonline.com/y2009/0281920.html</link>
<description><![CDATA[In a combinatorial exchange, a set of rules can be input for processing of bids received in connection with the exchange. At least one bid can be received from each of a plurality of exchange participants and a desired exchange objective can be defined. A determination can be made as a function of a subset of the rules if an allocation of the bids exists that is optimal for the type of exchange being conducted. If the desired exchange objective is not satisfied, the step of determining an allocation is repeated utilizing a different subset of rules each time until the desired exchange objective is satisfied. It can be determined if the exchange is overconstrained and, if so, rules can be relaxed. Also or alternatively, the demand for a quantity of an item can be increased or decreased based on the average cost of the item.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[System and process for improving product recommendations for use in providing personalized advertisements to retail customers]]></title>
<link>http://www.freepatentsonline.com/y2009/0281923.html</link>
<description><![CDATA[A system and process for improving product recommendations for a first user includes receiving a request for one or more product recommendations for a first user, each product recommendation being associated with any one of a plurality of retailers, receiving a plurality of recommendation sets from one or more automated product recommendation systems, wherein the plurality of recommendation sets are generated using different selection models and using ensemble learning to select one or more most relevant product recommendation sets from the plurality of product recommendation sets.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[System and method for adaptive data masking]]></title>
<link>http://www.freepatentsonline.com/y2009/0281974.html</link>
<description><![CDATA[A method for adaptive data masking of a database is provided. The method comprises extracting data from a first database and providing one or more predefined rules for masking the extracted data. The method further comprises masking a first portion of extracted data using a trained Artificial Neural Network (ANN), where the ANN is trained for masking at least one database having properties similar to the first database. The masked and unmasked data is aggregated to arrive at an output structurally similar to the extracted data. The method furthermore comprises determining a deviation value between the arrived output and expected output of the extracted data, and adapting the trained ANN automatically according to data masking requirements of the first database, if the deviation value is more than a predefined value.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[CONSOLIDATED BUSINESS SERVICE FOR INTEGRATING SERVICE ORIENTED ARCHITECTURE SERVICES WITH CUSTOMER RESOURCES]]></title>
<link>http://www.freepatentsonline.com/y2009/0281861.html</link>
<description><![CDATA[A Consolidated Business Service (CBS) manages an interface between Service Oriented Architecture (SOA) services and resources used by at least one enterprise customer. The CBS utilizes an Enterprise Systems Management (ESM) layer that includes: a bi-directional portal between Service Oriented Architecture (SOA) services and enterprise resources used by at least one enterprise customer; an aggregating logic for aggregating incoming and outgoing messages from the SOA services and the enterprise resources; a strategy set of rules that define pre-set responses to an event described by one or more of the incoming messages from the enterprise resources, wherein the pre-set responses are provided by a SOA response service from the SOA services; and a delegation logic for delegating the pre-set responses to agents in the affected resources, wherein the agents are software logic that have been pre-deployed, from the ESM layer to the affected resources, for executing the pre-set responses.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[METHOD AND A SYSTEM FOR SEARCHING INFORMATION USING INFORMATION DEVICE]]></title>
<link>http://www.freepatentsonline.com/y2009/0281997.html</link>
<description><![CDATA[A method and system for searching information using information device is provided. The method for searching information comprises generating one or more questions corresponding to a search query. The questions are generated based on a predetermined ordering criterion when a predefined condition is true. One or more responses to the questions are received from a user. Information is rendered on the information device based on one or more of a response and the search query.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[METHOD AND APPARATUS TO PROVIDE A USER PROFILE FOR USE WITH A SECURE CONTENT SERVICE]]></title>
<link>http://www.freepatentsonline.com/y2009/0282241.html</link>
<description><![CDATA[A secure content service available through a network comprising a user profile stored in a user profile store and a profile access controller to enforce access rights to the user profile, wherein the user profile is used to provide access rights to other content.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[System, devices, and methods for detecting occlusions in a biological subject]]></title>
<link>http://www.freepatentsonline.com/y2009/0281412.html</link>
<description><![CDATA[Systems, devices, and methods are described for detecting an embolus, thrombus, or a deep vein thrombus in a biological subject.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Automated Configuration of Medical Practice Management Systems]]></title>
<link>http://www.freepatentsonline.com/y2009/0281831.html</link>
<description><![CDATA[A user (e.g., medical office manager, medical office insurance administrator, doctor) utilizes a medical practice configuration interface (e.g., web page) to input information about the user's medical practice (e.g., address, insurance plans, doctors, hospitals that the doctors utilize). Based on this information and/or rules associated with the insurance plans accepted at the user's medical practice, additional information is requested from the user about the user's medical practice (e.g., information needed for an insurance plan, information needed for a hospital). The user inputs the requested additional information utilizing the medical practice configuration interface. Configuration information for the user's medical practice is generated based on the information and/or the additional information inputted by the user. A user interface (e.g., web pages interfacing with the medical practice management server) and/or rules for the medical practice can be generated based on the configuration information.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[METHOD AND SYSTEM FOR AUTOMATICALLY EVALUATING THE QUALITY OF MEDICAL RECORDS]]></title>
<link>http://www.freepatentsonline.com/y2009/0281837.html</link>
<description><![CDATA[A method, a system, and a computer readable article of manufacture tangibly embodying computer readable instructions for executing a computer implemented method for automatically evaluating the quality of a medical record. The method includes: generating temporary facts from a medical record to be evaluated; constructing a query to a knowledge base of standard facts of standard medical records from the temporary facts; executing the query to the knowledge base by using a reasoning engine; and determining the quality of a medical record to be evaluated based on the result of the query.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Discovering Relevant Concept And Context For Content Node]]></title>
<link>http://www.freepatentsonline.com/y2009/0281900.html</link>
<description><![CDATA[Discovering relevant concepts and context for content nodes to determine a user's intent includes identifying one or more concept candidates in a content node based at least in part on one or more statistical measures, and matching concepts in a concept association map against text in the content node. The concept association map represents concepts, concept metadata, and relationships between the concepts. The one or more concept candidates are ranked to create a ranked one or more concept candidates based at least in part on a measure of relevance. The ranked one or more concept candidates is expanded according to one or more cost functions. The expanded set of concepts is stored in association with the content node.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[METHOD AND SYSTEM FOR SELECTING CLOTHING ITEMS ACCORDING TO PREDETERMINED CRITERIA]]></title>
<link>http://www.freepatentsonline.com/y2009/0281922.html</link>
<description><![CDATA[A method and system enables users to select clothing choices for various situations such as: 1) During the purchase of new clothing items; 2) when deciding what to pack for a trip, possibly to a different culture; 3) when deciding what to wear for a particular occasion, or what to pack for a trip. In this invention, a database contains information about a client's wardrobe. Each item in the database is placed in a defined category and has a unique identity. The user can enter certain search requirement that enable the invention to search the clothing database for clothing matches that are consistent with the search requirements.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[SELF-LEARNING DATA LENSES]]></title>
<link>http://www.freepatentsonline.com/y2009/0281792.html</link>
<description><![CDATA[A semantic conversion system ( 1900 ) includes a self-learning tool ( 1902 ). The self-learning tool ( 1902 ) receives input files from legacy data systems ( 1904 ). The self-learning tool ( 1902 ) includes a conversion processor ( 1914 ) that can calculate probabilities associated with candidate conversion terms so as to select an appropriate conversion term. The self-learning tool ( 1902 ) provides a fully attributed and normalized data set ( 1908 ).]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[INFORMATION-THEORETICALLY SECURE SECRECY GENERATION]]></title>
<link>http://www.freepatentsonline.com/y2009/0279700.html</link>
<description><![CDATA[A method and apparatus are provided for performing information-theoretically secure cryptography using joint randomness not shared by others. Two valid communicating entities independently generate samples of a shared source that is not available to an illegitimate entity. The shared source may be a satellite signal, and each legitimate entity may generate uniformly distributed samples from a binary phase-shift keying signal received on an independent channel. Alternatively, the shared source may be a channel between the two legitimate entities, such that each legitimate entity generates samples of unknown distribution based on the channel impulse response of the channel. One legitimate entity generates an encryption key, a quantization error, and a syndrome from its samples. The quantization error and the syndrome are reported to the other legitimate entity. The other legitimate entity generates a matching encryption key using its samples, the quantization error, and the syndrome.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[SYSTEMS AND METHODS FOR INTEGRATING USER-GENERATED CONTENT WITH PROPRIETARY CONTENT IN A DATABASE]]></title>
<link>http://www.freepatentsonline.com/y2009/0281978.html</link>
<description><![CDATA[A system for managing and displaying collaborative content in a database. The database is configured to store both editor-generated content and user-generated content. The system also includes a server interfacing with the database, a display device connected to the server, a editor content module interfacing with the database and configured to display the editor-generated content on the display device, a user interface module running on the sever, a user content module configured to receive the user input from the user interface module and display the user input as user-generated content on the display device, a validation module interfacing with the user content module, wherein the validation module is configured to verify the accuracy of the user-generated content, and a bias detection module interfacing with the user content module, wherein the bias detection module is configured to detect bias in the user-generated content.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[SYSTEM AND METHOD FOR RECOGNIZING A KEYSTROKE IN AN ELECTRONIC DEVICE]]></title>
<link>http://www.freepatentsonline.com/y2009/0281979.html</link>
<description><![CDATA[The disclosure provides a system and a method of processing keystrokes entered on an electronic device. The method comprises: monitoring for activation of two or more keys on the keyboard; evaluating whether the activation of those keys occurs within a set window of time; evaluating locations of those keys. After these evaluations, if the keystroke conflict is determined to not have been produced, then characters for those keys are generated in order of their activations. If the keystroke conflict is determined to have been produced, then the method arbitrates between those keys to select a key utilizing a dictionary to automatically determine the key to be selected. In the dictionary, its entries are related to each of those keys combined with any previously entered keystrokes. The method then processes the selected key to generate on a display one character, which is associated with the selected key.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[System and process for improving recommendations for use in providing personalized advertisements to retail customers]]></title>
<link>http://www.freepatentsonline.com/y2009/0281895.html</link>
<description><![CDATA[A method of improving user set recommendations for product advertising including receiving a request for user set recommendations from any of a set of retailers where such request is related to one or more products, receiving from a plurality of user sets from one or more automated user recommendation systems, wherein the plurality of user sets are generated using different user models and using ensemble learning to select one or more most relevant user sets from the plurality of user sets.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[METHOD AND SYSTEM FOR DEVELOPING DATA INTEGRATION APPLICATIONS WITH REUSABLE SEMANTIC IDENTIFIERS TO REPRESENT APPLICATION DATA SOURCES AND VARIABLES]]></title>
<link>http://www.freepatentsonline.com/y2009/0282066.html</link>
<description><![CDATA[A method and system for developing data integration applications with reusable semantic identifiers to represent application data sources and variables. Methods include receiving a set of physical data identifiers that identify physical data fields, associating semantic names with these fields, and executing rules expressed in terms of these semantic names.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
</item>

<item>
<title><![CDATA[Method and Apparatus for Inferring Topics for Web Pages and Web Ads for Contextual Advertising]]></title>
<link>http://www.freepatentsonline.com/y2009/0281894.html</link>
<description><![CDATA[A method and apparatus are provided for inferring topics for web pages and web ads for contextual advertising. In one example, the method includes receiving clicked ads from an ads log database, extracting ad terms from the clicked ads, calculating hidden classes for the ad terms based on an analysis of the ad terms, calculating a probability of each clicked ad appearing in each of the hidden classes, and assigning a topic to each clicked ad based on the probability of each clicked ad appearing in each of the hidden classes.]]></description>
<pubDate>Thu, 12 Nov 2009 08:00:00 EST</pubDate>
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