1
Raman Chandrasekar, James Charles Finger II, Sally K Salas, Eric Benjamin Watson: System and method for performing a search and a browse on a query. Microsoft Corporation, Woodcock Washburn, December 20, 2005: US06978264 (153 worldwide citation)

A search and a browse on a single user query is performed. A refined query is selected from the results of the first user query. Thereafter, a list of concepts from a first directory associated with the refined query is obtained. The concepts are defined in a hierarchical relationship with concepts ...


2
Raman Chandrasekar, Ray Sun, Thomas Dale White, Zhanliang Chen: System and methods for providing runtime spelling analysis and correction. Microsoft Corporation, Woodcock Washburn, November 13, 2007: US07296019 (84 worldwide citation)

A system and methods are provided for runtime spelling analysis and correction in a computing system. Misspelled entries or input text is automatically corrected turning the misspelled entries or input text into valid entries or text. The words used for spell checking and correction may be collected ...


3
Raman Chandrasekar, James C Finger II, Eric B Watson: System and method for query refinement to enable improved searching based on identifying and utilizing popular concepts related to users queries. Microsoft Corporation, Woodcock Washburn, November 14, 2006: US07136845 (69 worldwide citation)

Refining a user query is disclosed. In one method, a query is received from a user, and then mapped to one or more search concepts. A list of search concepts associated with the query is then displayed. Alternatively or additionally, the search concepts associated with the query are used to provide ...


4
Raman Chandrasekar, David W Steinkraus: Method and system for performing phrase/word clustering and cluster merging. Microsoft Corporation, Woodcock Washburn, June 10, 2003: US06578032 (67 worldwide citation)

Text classification has become an important aspect of information technology. Present text classification techniques range from simple text matching to more complex clustering methods. Clustering describes a process of discovering structure in a collection of characters. The invention automatically ...


5
Simon H Corston, Raman Chandrasekar, Harr Chen: Machine-learned approach to determining document relevance for search over large electronic collections of documents. Microsoft Corporation, Amin Turocy & Calvin, October 23, 2007: US07287012 (20 worldwide citation)

The present invention relates to a system and methodology that applies automated learning procedures for determining document relevance and assisting information retrieval activities. A system is provided that facilitates a machine-learned approach to determine document relevance. The system include ...


6
Dean A Slawson, Raman Chandrasekar, Michael K Forney: Adaptive dissemination of personalized and contextually relevant information. Microsoft Corporation, Perkins Coie, August 18, 2009: US07577718 (19 worldwide citation)

An information dissemination system identifies the interests of a user from information derived from various sources, such as, by way of example, the user's calendar entries, emails, World Wide Web (web) usage information, documents, enterprise resource planning (ERP) data, and the like. The informa ...


7
Harr Chen, Raman Chandrasekar, Simon H Corston, Eric D Brill: Building and using subwebs for focused search. Microsoft Corporation, Amin Turocy & Calvin, June 24, 2008: US07392278 (17 worldwide citation)

A system that facilitates performance of a focused search over a collection of sites comprises a subweb that corresponds to a topic and/or user characteristic(s) that are of interest to the user. The subweb includes a plurality of domains and/or paths (e.g. sites) that are related to the topic and/o ...


8
Raman Chandrasekar, Tian Bai, Eric J Chang, Michael Tsang: Context based online advertising. Microsoft Corporation, Lee & Hayes PLLC, December 4, 2012: US08326630 (13 worldwide citation)

A software and/or hardware facility for inferring user context and delivering advertisements, such as coupons, using natural language and/or sentiment analysis is disclosed. The facility may infer context information based on a user's emotional state, attitude, needs, or intent from the user's inter ...


9
Raman Chandrasekar, Dean A Slawson, Michael K Forney: Temporal ranking of search results. Microsoft Corporation, Perkins Coie, December 7, 2010: US07849079 (11 worldwide citation)

An information dissemination system ranks the search results based on a temporal weight assigned to each search result. The temporal weight is an indication of the importance to a user that varies with time. For each search result, the information dissemination system calculates a temporal weight th ...


10
Raman Chandrasekar, David W Steinkraus: Method and system for performing phrase/word clustering and cluster merging. Microsoft Corporation, Woodcock Washburn, April 14, 2009: US07519590 (11 worldwide citation)

Text classification has become an important aspect of information technology. Present text classification techniques range from simple text matching to more complex clustering methods. Clustering describes a process of discovering structure in a collection of characters. The invention automatically ...