Chirag Shah's WebHome - Publications

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My talks are available here.

2008

Marchionini, Gary, Capra, Robert, and Shah, Chirag. Focus on results: personal and group information seeking over time. Poster to appear at HCIR 2008 Workshop.
Shah, Chirag, Oh, Jung Sun, and Oh, Sanghee. Exploring characteristics and effects of user participation in online social Q&A sites. First Monday [Online], Volume 13 Number 9 (30 August 2008).
D. Kelly, C. Shah, C. Sugimoto, E. Bailey, R. Clemens, A.K. Irvine, N.A. Johnson, W. Ke, S. Oh, A. Poljakova, M.A. Rodriguez, M.G. van Noord & Y. Zhang. The effects of performance feedback on users' evaluations of an interactive IR system. In Proceedings of Information Interaction in Context. Oct. 14-17, 2008. London, UK.
Shah, Chirag, and Marchionini, Gary. Capturing Relevant Information for Digital Curation. In Bulletin of IEEE Technical Committee on Digital Libraries, 4(1), Spring 2008. [Online]
Shah, Chirag, and Marchionini, Gary. ContextMiner: A Tool for Digital Library Curators. In Bulletin of IEEE Technical Committee on Digital Libraries, 4(1), Spring 2008. [Online]
Shah, Chirag. Toward Collaborative Information Seeking (CIS). In Collaborative Exploratory Search Workshop at JCDL 2008. [PDF]
Shah, Chirag, and Marchionini, Gary. Hunting for Hip, Hipsters, and Happenings on YouTube. To appear in ASIST 2008. October 24-29, 2008. Columbus, OH.
Oh, Sanghee, Oh, Jung Sun, and Shah, Chirag. The Use of Information Sources by the Internet Users in Answering Questions. To appear in ASIST 2008. October 24-29, 2008. Columbus, OH.
Pickens, Jeremy, Golovchinsky, Gene, Shah, Chirag, Qvarfordt, Pernilla, and Back, Maribeth. Algorithmic Mediation for Collaborative Exploratory Search. In Proceedings of ACM SIGIR 2008. Singapore. July 2024, 2008. (Best Paper Award)

Shah, Chirag. Understanding System Implementation and User Behavior in a Collaborative Information Seeking Environment. In Doctoral Consortium at SIGIR 2008.

Shah, Chirag. TubeKit - A Query-based YouTube Crawling Toolkit. Demo in JCDL 2008. [TubeKit Website]

Capra, Robert, Lee, Christopher A., Marchionini, Gary, Russell, Terrell, Shah, Chirag, and Stutzman, Fred. Selection and Context Scoping for Digital Video Collections: An Investigation of YouTube and Blogs. In JCDL 2008.

Shah, Chirag. Understanding System Implementation and User Behavior in a Collaborative Information Seeking Environment. In Doctoral Consortium at JCDL 2008.

2007

Marchionini, Gary, Tibbo, Helen, Shah, Chirag, and Lee, Christopher A. Telling the Whole Story: Selecting and Collecting Web-Based Videos for Archival Collections. Poster in Digital Curation Conference (DCC). Washington DC, USA. December 11-13, 2007.
Chirag Shah and Gary Marchionini. Preserving 2008 US Presidential Election Videos. In the Proceedings of International Web Archiving Workshop (IWAW) 2007.
Chirag Shah, Diane Kelly, and Xin Fu. Making Mind and Machine Meet - A Study of Combining Cognitive and Algorithmic Relevance Feedback. Poster in SIGIR 2007.
Xin Fu, Diane Kelly, and Chirag Shah. Using Collaborative Queries to Improve Retrieval for Difficult Topics. Poster in SIGIR 2007.
Chirag Shah and Gary Marchionini. DiscoverInfo: A Tool for Discovering Information with Relevance and Novelty. Demo in SIGIR 2007.
Chirag Shah and Gary Marchionini. Capturing Relevant Information for Digital Curation. Poster in IEEE ACM Joint Conference on Digital Libraries (JCDL 2007).

Chirag Shah and Gary Marchionini. ContextMiner: A Tool for Digital Curator. Demo in IEEE ACM Joint Conference on Digital Libraries (JCDL 2007).

Chirag Shah and Koji Eguchi. Use of Topicality and Information Measures to Improve Document Representation for Story Link Detection. In Proceedings of the 29th European Conference on Information Retrieval (ECIR 2007).

2006

Koji Eguchi and Chirag Shah. Opinion Retrieval Experiments using Generative Models (Notebook Version). TREC 2006. [PDF]

Chirag Shah, W. Bruce Croft, and David Jensen. Representing Documents with Named Entities for Story Link Detection (SLD). Poster paper for CIKM 2006. [PDF]

2005

Chirag Shah and Rakesh Gupta. Building Plans for Household Tasks from Distributed Knowledge. IJCAI 2005 Workshop - Modeling Natural Action Selection (MNAS). [PostScript] [PDF]

2004

Margaret Connell, Ao Feng, Giridhar Kumaran, Hema Raghavan, Chirag Shah, and James Allan. UMass at TDT 2004. Topic Detection and Tracking (TDT) 2004. December 2004. [PostScript] [PDF]
Chirag Shah and W. Bruce Croft. Evaluating High Accuracy Retrieval Techniques. SIGIR 2004. Sheffield, UK. July 2004.[PostScript] [PDF]

2003

Ganesh Ramakrishnan, Kedar Bellare, Chirag Shah, and Deepa Paranjpe. Generic Text Summarization Using WordNet for Novelty and HARD. Text REtrieval Conference (TREC) 2003. Maryland, USA. November 2003. [PostScript] [PDF]
Chirag Shah and Pushpak Bhattacharyya. Improving Document Vectors Representation using Semantic Links and Attributes. International Conference on Natural Language Processing (ICON) 2003. Mysore, India. December 2003. [PostScript] [PDF]

2002

Chirag Shah, Bhoopesh Chaudhary, and Pushpak Bhattacharyya. Constructing Better Document Vectors Using Universal Networking Language (UNL). International Conference on Knowledge Based Systems (KBCS) 2002. Mumbai, India. December 2002. [PostScript] [PDF]
Chirag Shah and Pushpak Bhattacharyya. A Study for Evaluating the Importance of Various Parts of Speech (POS) for Information Retrieval (IR). International Conference on Universal Knowledge and Language (ICUKL) 2002. Goa, India. November 2002. [PostScript] [PDF]
Chirag Shah. Automatic Organization of Text Documents in Categories Using Self-Organizing Map (SOM). IEEE Regional Student Paper Contest, 2002 (3rd prize). [PDF]

2001

Chirag Shah and A. Nayeemulla Khan. Spoken Document Retrieval (SDR) for Broadcast News in Indian Languages. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2001. Salt Lake City, Utah, USA. May 2001. [PostScript] [PDF]

Note: you can download and distribute any of the papers available here for education and academic research only. Please contact me if you have any questions, comments or inerested knowing more.