Abstract: Systems and methods can support managing clinical alerts presented to clinical care users. An integration management system can maintain models of clinical alert events in the context of user behaviors and in the context of patients. Alarm indications associated with the patient may be received along with context information associated with the patient. Patient information may be received from an electronic medical record system. Integrated decision processing can integrate two or more of the alarm indication, the models of clinical alert events, the patient context, and the information from the electronic medical record system. The integrated decision processing can determine if a clinical alert is to be generated, what type, and to whom. The clinical alert can be transmitted to a target user. A response can be received and interpreted. Information associated with the patient may be updated into the electronic medical record system.

Abstract: Systems and methods can support managing clinical alerts presented to clinical care users. An integration management system can maintain models of clinical alert events in the context of user behaviors and in the context of patients. Alarm indications associated with the patient may be received along with context information associated with the patient. Patient information may be received from an electronic medical record system. Integrated decision processing can integrate two or more of the alarm indication, the models of clinical alert events, the patient context, and the information from the electronic medical record system. The integrated decision processing can determine if a clinical alert is to be generated, what type, and to whom. The clinical alert can be transmitted to a target user. A response can be received and interpreted. Information associated with the patient may be updated into the electronic medical record system.

Abstract: The concept of variability pertains to whether users exhibit consistent search interaction patterns, for example, in terms of interaction flow or information targeted. Methods are provided for analyzing variability, and then adapting search-related functionality (e.g., processes and/or interfaces) to account for variability characteristics, for example, to account for predictable search interaction behavior.

Abstract: The concept of variability pertains to whether users exhibit consistent search interaction patterns, for example, in terms of interaction flow or information targeted. Methods are provided for analyzing variability, and then adapting search-related functionality (e.g., processes and/or interfaces) to account for variability characteristics, for example, to account for predictable search interaction behavior.

Abstract: A spell checker based on the noisy channel model has a source model and an error model. The source model determines how likely a word w in a dictionary is to have been generated. The error model determines how likely the word w was to have been incorrectly entered as the string s (e.g., mistyped or incorrectly interpreted by a speech recognition system) according to the probabilities of string-to-string edits. The string-to-string edits allow conversion of one arbitrary length character sequence to another arbitrary length character sequence.

Abstract: A spell checker based on the noisy channel model has a source model and an error model. The source model determines how likely a word w in a dictionary is to have been generated. The error model determines how likely the word w was to have been incorrectly entered as the string s (e.g., mistyped or incorrectly interpreted by a speech recognition system) according to the probabilities of string-to-string edits. The string-to-string edits allow conversion of one arbitrary length character sequence to another arbitrary length character sequence.

Abstract: A unique system and method is provided that facilitates improving relevance of search results over the initial searching ranking. The system and method involve obtaining relevancy feedback for at least one search result (user rated) and then generating a connectivity graph or web-graph (for Web searches) for the user rated result. The relative distance between results (or pages) in the graph can indicate relevancy between those results. Thus, results within a particular distance from the rated result can be considered related to the rated result and thus, relevant or irrelevant depending on the particular rating for that result. The connectivity graph can be employed to determine a re-ranking of the search results.

Abstract: Systems and methods that estimate user preference, via automatic interpretation of user behavior. A user behavior component associated with a search engine can automatically interpret collective behavior of users (e.g., web search users). Such feedback component can include user behavior features and predictive models (e.g., from a user behavior component) that are robust to noise, which can be present in observed user interactions with the search results (e.g., malicious and/or irrational user activity.

Abstract: A unique multi-stage classification system and method that facilitates reducing human resources or costs associated with text classification while still obtaining a desired level of accuracy is provided. The multi-stage classification system and method involve a pattern-based classifier and a machine learning classifier. The pattern-based classifier is trained on discriminative patterns as identified by humans rather than machines which allow a smaller training set to be employed. Given humans' superior abilities to reason over text, discriminative patterns can be more accurately and more readily identified by them. Unlabeled items can be initially processed by the pattern-based classifier and if no pattern match exists, then the unlabeled data can be processed by the machine learning classifier. By employing the classifiers in this manner, less human involvement is required in the classification process. Even more, classification accuracy is maintained and/or improved.

Abstract: A system that facilitates determining a user's intent given a user search query comprises a search engine that is employed to search over a collection of objects within a data store to retrieve a user search result set. The objects within the result set are associated with queries that were previously utilized to locate such objects. A level of relatedness between the previous queries and the user search query is determined, and previous queries that are associated with a result set that is novel and related to the user search result set are returned to the user.

Abstract: The present invention leverages iterative transformations of search query strings along with statistics extracted from search query logs and/or web data to provide possible alternative spellings for the search query strings. This provides a spell checking means that can be influenced to provide individualized suggestions for each user. By utilizing search query logs, the present invention can account for substrings not found in a lexicon but still acceptable as a search query of interest. This allows a means to provide a higher quality proposal for alternative spellings, beyond the content of the lexicon. One instance of the present invention operates at a substring level by utilizing word unigram and/or bigram statistics extracted from query logs combined with an iterative search. This provides substantially better spelling alternatives for a given query than employing only substring matching. Other instances can receive input data from sources other than a search query input.

Abstract: A unique ranking system and method that facilitates improving the ranking and ordering of objects to further enhance the quality, accuracy, and delivery of search results in response to a search query. The system and method involve monitoring and tracking an object in terms of the number of times it's been accessed and optionally by whom, when, for how long, and an access rate. The user's interaction with the object can be tracked as well. By tracking the objects, a popularity measure can be determined. Popularity based rankings can be computed based on the popularity measure or some function thereof. The popularity measure can be affected by the access time, who accessed it, access duration or the user's interaction with the object upon access. The popularity based rankings can be utilized by a search component to improve the quality and retrieval of search results.

Abstract: Structured content and associated metadata from the Web are leveraged to provide specific answer string responses to user questions. The structured content can also be indexed at crawl-time to facilitate searching of the content at search-time. Ranking techniques can also be employed to facilitate in providing an optimum answer string and/or a top K list of answer strings for a query. Ranking can be based on trainable algorithms that utilize feature vectors for candidate answer strings. In one instance, at crawl-time, structured content is indexed and automatically associated with metadata relating to the structured content and the source web page. At search-time, candidate indexed structured content is then utilized to extract an appropriate answer string in response to a user query.

Abstract: The claimed subject matter provides systems and methods that facilitate providing specialized content associated with web results in response to a user query to provide queried information directly to a user without requiring the user to select a link and/or scroll through information on a web page associated therewith. Reference language models can be generated from multiple queries and can be compared to a query language model generated from web results returned in response to a user query. Based on such comparison, a determination can be made regarding whether a particular portion of specialized content corresponding to some particular query keywords is relevant enough to warrant direct presentation to the user.

Abstract: The present invention relates to a system and methodology to facilitate automated error correction of user input data via an analysis of the input data in accordance with an automatically generated and filtered database of processed structural groupings or formulations selected and filtered from past user activities. The filtered database provides a relevant foundation of potential phrases, topics, symbols, speech and/or colloquial structures of interest to users—which are automatically determined from previous user activity, and employed to facilitate automated error checking in accordance with the user's current input, command and/or request for information.

Abstract: Location-based technologies (e.g., global position system (GPS)) can be employed to facilitate providing multi-modal, multi-lingual location-based services. Identification of location can provide significant context as to identifying user state and intentions. Thus, location identification can facilitate providing/augmenting data and services (e.g., location-aware based suggestions, truncating contact lists based upon location, location-based reminders as a user approaches a predetermined location, truncating pre-loaded tasks, suggesting routes to accomplish pre-loaded tasks in a PIM). Still other aspects can augment GPS location identification with a compass, accelerometer, azimuth control, cellular triangulation, SPOT services of telephone, etc. Effectively, these alternative aspects can facilitate determination of a target location by detecting movement and direction of a user and/or portable device.

Abstract: The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and/or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility.

Abstract: A system for searching for information is disclosed. The system comprises a search module that obtains a set of results that is responsive to a query. The system also includes a biasing module that ranks members of the set of results based at least in part upon a member of a set of information derived from prior information-gathering tasks. Methods for using such system are also provided.

Abstract: A system for associating information comprises an association module that uses anchoring information to associate a first piece of information with a second piece of information, wherein the second piece of information is not part of the first piece of information. The system further includes a rendering module that presents the second piece of information for use. Methods for using such a system are also described.

Abstract: The subject invention leverages a locating means, such as, for example, Internet addresses to provide supplementary information based on the location of network content. This allows additional information to be disseminated with the content without requiring the content itself to be modified to contain the supplementary information. By providing locating means association-based supplementary information, the subject invention permits supplementary information such as, for example, advertising, notes, and chats and the like to be relayed to a user along with the desired unaltered content such as, for example, with a web page. In one instance of the subject invention, advertisements are associated with Internet URLs, allowing advertisers to purchase associations that they deem beneficial to their businesses. In another instance of the subject invention, a function of the locating means is utilized to provide a set of locations to associate supplementary information with.