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Scientific, Philadelphia, PA) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. The ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using(More)
Web Information Discovery Integrated Tool (WIDIT) Laboratory at the Indiana University School of Library and Information Science participated in the Blog track’s opinion task in TREC2006. The goal of opinion task is to "uncover the public sentiment towards a given entity/target", which involves not only retrieving topically relevant blogs but also(More)
In TREC-2007, Indiana University‟s WIDIT Lab 1 participated in the Blog track‟s opinion task and the polarity subtask. For the opinion task, whose goal is to "uncover the public sentiment towards a given entity/target", we focused on combining multiple sources of evidence to detect opinionated blog postings. Since detecting opinionated blogs on a given(More)
For the TREC-5, Category B adhoc task, we examined the effectiveness of two relevance feedback models: an adaptive linear model and a probabilistic model (Sumner & Shaw, 1997). The models were shown to be effective, especially when the relevance assessments of the searchers matched those of the official TREC judges. During feedback, the query was expanded(More)
Academic institutions, federal agencies, publishers, editors, authors, and librarians increasingly rely on citation analysis for making hiring, promotion, tenure, funding, and/or reviewer and journal evaluation and selection decisions. The Institute for Scientific Information’s (ISI) citation databases have been used for decades as a starting point and(More)
The characteristics of Web search environment, namely the document characteristics and the searcher behavior on the Web, confound the problems of Information Retrieval (IR). The massive, heterogeneous, dynamic, and distributed Web document collection as well as the unpredictable and less than ideal querying behavior of a typical Web searcher exacerbate(More)
To facilitate understanding of information as well as its discovery, we need to combine the capabilities of the human and the machine as well as multiple methods and sources of evidence. Web Information Discovery Tool (WIDIT) Laboratory at the Indiana University School of Library and Information Science houses several projects that aim to apply this idea of(More)
In our TREC-5 ad-hoc experiment, we tested two relevance feedback models, an adaptive linear model and a probabilistic model, using massive feedback query expansion (Sumner & Shaw, 1997). For our TREC-6 interactive experiment, we developed an interactive retrieval system called IRIS (Information Retrieval Interactive System), which implemented modified(More)