Abstract: A computer-implemented method is disclosed for real-time inventory tracking with a mobile device, including: receiving a communication for a stationary inventory item via a cellular or wireless network from a tracking server that is coupled with the cellular or wireless network; and tracking the stationary inventory item on a registered consumer mobile device in real-time via the cellular or wireless network, wherein tracking comprises: receiving an updated status regarding a quantity and a location related to the stationary inventory item; and displaying the updated status on a screen of the mobile device in real time.

Abstract: The present invention provides a method and system for generating search results including receiving a search request including at least one search term and accessing a corpus of data to determine relevant content for inclusion in a search result set on the basis of the search request. The method and system includes determining a plurality of applications associated with the search request and generating a search result output display for the presentation of at least a portion of the search result set and at least a portion of the applications.

Abstract: A method and system for extracting opinions about a subject of interest from a text document in which each sentence is analyzed individually to identify the opinions. The most relevant feature terms related to the subject are extracted from the document based on their relevancy scores. Candidate feature terms are definite noun phrases at the beginning of the sentences. For each sentence that refers to the subject or a feature term, the invention determines whether the sentence includes an opinion polarity about the subject or the feature term. The opinion polarity is detected by identifying opinion terms in the sentence using an opinion dictionary or an opinion rule base, parsing the sentence with an English parser to identify grammatical components in the sentence and their relationships, and finding a matching entry in the dictionary or the rule base.

Abstract: A system for sharing data within a network, the system including a first peer device coupled with the network that comprises local cache storage configured to store data comprising at least one entry designated as network accessible cache data and a cache control module operative to control access to the data stored in the local cache storage. The system further includes a second peer device coupled with the first peer device via the network where the second peer device is configured to request network accessible cache data stored in the local cache storage of the first peer device. Furthermore, the cache control module of the first peer device is configured to transmit at least a portion of the requested network accessible cache data to the second peer device in response to the request for network accessible data stored from the second peer device.

Abstract: The present invention provides a method and system for generating search results including receiving a search request including at least one search term and accessing a corpus of data to determine relevant content for inclusion in a search result set on the basis of the search request. The method and system includes determining a plurality of applications associated with the search request and generating a search result output display for the presentation of at least a portion of the search result set and at least a portion of the applications.

Abstract: Systems and methods for providing popular content are disclosed. Generally, a request for popular content is received from a device. The request for popular content includes at least one parameter associated with users that previously accessed the popular content. A popularity module identifies the popular content based on a frequency of users associated with the at least one parameter accessing the popular content. The identified popular content is then served to the device.

Abstract: A system is described for providing feeds for entities not associated with feed services. The system may include a processor, a memory and an interface. The memory may store an identifier of an entity, an update condition and a feed. The entity may include content, and the update condition may describe an update to the content. The interface may communicate with a device of the user. The processor may receive the identifier of the entity and the update condition of the entity via the interface. The processor may generate a feed for the entity and the processor may add the content to the feed when the content is updated in accordance with the update condition. The processor may then provide the feed to the device of the user via the interface.

Abstract: Systems and methods for optimizing webpage content based on a screen orientation of a device are disclosed. Generally, a plurality of content chunks comprising a webpage to be displayed on a device is identified. An indication of a screen orientation of the device is received and webpage content to be displayed on the device is modified based at least in part on the screen orientation of the device, the identified plurality of content chunks, and a focus priority associated with each content chunk of the plurality of content chunks.

Abstract: A system is described for providing contextually relevant data. The system may include a processor, a memory and an interface. The processor may receive a query associated with a user. The processor may determine a spatial context, a temporal context, a social context and a topical context of the query. The spatial context may represent the location of the user, and the temporal context may represent a time of the query. The topical context may represent an item of interest to the user, and the social context may represent an item of interest to other users associated with the user. The processor may identify a plurality of search results for the query searched for. Each search result may be associated with one or more of the spatial context, the temporal context, the social context and the topical context. The processor may provide the identified search results to the user.

Abstract: A system is described for associating data items with context. The system may include a processor, a memory and an interface. The processor may identify an action performed by a user and may determine the spatial, temporal, social and topical attributes of the action. The spatial attribute of the action may relate to the user's location, the temporal attribute may relate to the time the action was performed, the social attribute may relate to a social relation of the user, and the topical attribute may relate to a topic of interest to the user. The processor may store an association between a descriptor of the action, the spatial attribute of the action, the temporal attribute of the action, the social attribute of the action and the topical attribute of the action in the memory. The processor may use the stored association to provide a contextually relevant data item via the interface.

Abstract: A system for sharing data within a network, the system including a first peer device coupled with the network that comprises local cache storage configured to store data comprising at least one entry designated as network accessible cache data and a cache control module operative to control access to the data stored in the local cache storage. The system further includes a second peer device coupled with the first peer device via the network where the second peer device is configured to request network accessible cache data stored in the local cache storage of the first peer device. Furthermore, the cache control module of the first peer device is configured to transmit at least a portion of the requested network accessible cache data to the second peer device in response to the request for network accessible data stored from the second peer device.

Abstract: A method is disclosed for serving user queries adaptively based on whether the query is submitted by a local user or a traveler, including receiving by a search engine a query from a communication device, the query including one or more search terms; detecting a type of keyword term by a context detector of the search engine that indicates a geographic context of the query; determining whether a user of the communication device is the local user or the traveler based on the geographic context; and delivering geographically-targeted search results by the search engine to the communication device based on determining that the user is either the traveler or the local user.

Abstract: A computer-implemented method is disclosed for real-time inventory tracking with a mobile device, including: receiving a communication for a stationary inventory item via a cellular or wireless network from a tracking server that is coupled with the cellular or wireless network; and tracking the stationary inventory item on a registered consumer mobile device in real-time via the cellular or wireless network, wherein tracking comprises: receiving an updated status regarding a quantity and a location related to the stationary inventory item; and displaying the updated status on a screen of the mobile device in real time.

Abstract: A method and system for extracting opinions about a subject of interest from a text document in which each sentence is analyzed individually to identify the opinions. The most relevant feature terms related to the subject are extracted from the document based on their relevancy scores. Candidate feature terms are definite noun phrases at the beginning of the sentences. For each sentence that refers to the subject or a feature term, the invention determines whether the sentence includes an opinion polarity about the subject or the feature term. The opinion polarity is detected by identifying opinion terms in the sentence using an opinion dictionary or an opinion rule base, parsing the sentence with an English parser to identify grammatical components in the sentence and their relationships, and finding a matching entry in the dictionary or the rule base.

Abstract: A computer program product is provided as an automatic mining system to identify a set of relevant terms from a large text database of unstructured information, such as the World Wide Web (WWW), with a high degree of confidence, by association mining and refinement of co-occurrences using hypertext link metadata. The automatic mining system includes a software package comprised of a metadata extractor, a document vector module, an association module, and a filtering module. The automatic mining system further includes a database for storing the mined sets of relevant terms. The automatic mining system scans the downloaded hypertext links, rather than the entire body of the documents for related information. As a result, the crawler is not required to provide a relatively lengthy download of the document content, and thus, the automatic mining system minimizes the download and processing time.

Abstract: A computer program product is provided as an automatic mining system to discover terms that are relevant to a given target topic from a large databases of unstructured information such as the World Wide Web. The operation of the automatic mining system is performed in three stages: The first stage is carried out by a new terms discoverer for discovering the terms in a document, the second stage is carried out by a candidate terms discoverer for discovering potentially relevant terms, and the third stage is carried out by a relevant terms discoverer for refining or testing the discovered relevance to filter false relevance. The new terms discoverer includes a system for the automatic mining of patterns and relations, a system for the automatic mining of new relationships, and a system for selecting new terms from relations.

Abstract: A classifier for semi-structured documents and associated method dynamically and accurately classify documents with an implicit or explicit schema by taking advantage of the term-frequency and term distribution information inherent in the document. The system uses a structured vector model that allows like terms to be grouped together and dissimilar terms to be segregated based on their frequency and distribution within the sub-vectors of the structure vector, thus achieving context sensitivity. The final decision for assigning the class of a document is based on a mathematical comparison of the similarity of the terms in the structured vector to those of the various class models. The classifier of the present invention is capable of both learning and testing. In the learning phase the classifier develops models for classes with information it develops from the composite information gleaned from numerous training documents. Specifically, it develops a structured vector model for each training document.

Abstract: An automatic mining system that identifies a set of relevant terms from a large text database of unstructured information, such as the World Wide Web with a high degree of confidence. The automatic mining system includes a software program that enables the discovery of new relationships by association mining and refinement of co-occurrences, using automatic and iterative recognition of new binary relations through phrases that embody related pairs, by applying lexicographic and statistical techniques to classify the relations, and further by applying a minimal amount of domain knowledge of the relevance of the terms and relations. The automatic mining system includes a knowledge module and a statistics module. The knowledge module is comprised of a stemming unit, a synonym check unit, and a domain knowledge check unit. The stemming unit determines if the relation being analyzed shares a common root with a previously mined relation.

Abstract: A computer program product is provided as an automatic mining system to build a generalization hierarchy of terms from a database of terms and associated meanings, using for example the Least General Generalization (LGG) model. The automatic mining system is comprised of a terms database, an augmentation module, a generalization detection module, and a hierarchy database. The terms database stores the terms and their meanings, and the hierarchy database stores the generalization hierarchy which is defined by a set of edges and nodes. The augmentation module updates the terms using the LGG model. The generalization detection module maps the generalizations derived by the augmentation module, updates the edges, and derives a generalization hierarchy. In operation, the automatic mining system begins with no predefined taxonomy of the concept terms, and the LGG model derives a generalization hierarchy, modeled as a Directed Acyclic Graph from the terms.

Abstract: A computer program product is provided as an automatic mining system to identify a set of related terms on the World Wide Web that define a relationship, using the duality concept. Specifically, the mining system iteratively refines pairs of terms that are related in a specific way, and the patterns of their occurrences in web pages. The automatic mining system runs in an iterative fashion for continuously and incrementally refining the relates and their corresponding patterns. In one embodiment, the automatic mining system identifies relations in terms of the patterns of their occurrences in the web pages. The automatic mining system includes a relation identifier that derives new relations, and a pattern identifier that derives new patterns. The newly derived relations and patterns are stored in a database, which begins initially with small seed sets of relations and patterns that are continuously and iteratively broadened by the automatic mining system.