By W. Bruce Croft (auth.), W. Bruce Croft (eds.)
The middle for clever info Retrieval (CIIR) was once shaped within the desktop technology division ofthe college ofMassachusetts, Amherst in 1992. The middle help for the guts got here from a countrywide technology Foun- tion State/Industry/University Cooperative examine Center(S/IUCRC) provide, even supposing there have been a gigantic info retrieval (IR) examine staff for over 10 years ahead of that supply. Thebasic objective ofthese facilities is to mix easy examine, utilized study, and expertise move. The CIIR has been winning in every one of those components, in that it has produced over 270 study papers, has been concerned about many profitable executive and collaborations, and has had an important position in high-visibility websites and start-ups. because of those efforts, the CIIR has develop into recognized the world over as one of many top study teams within the zone of knowledge retrieval. The CIIR makes a speciality of learn that leads to more advantageous and effective entry and discovery in huge, heterogeneous, dispensed, textual content and multimedia databases. The scope of the paintings that's performed within the CIIR is extensive and is going considerably past “traditional” parts of data retrieval resembling retrieval types, cross-lingual seek, and automated question growth. The examine comprises either low-level platforms matters similar to the layout of protocols and architectures for allotted seek, in addition to extra human-centered subject matters comparable to person interface layout, visualization and knowledge mining with textual content, and multimedia retrieval.
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Additional resources for Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval
Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41:391–407. Fagan, J. (1987). Experiments in automatic phrase indexing for document retrieval: A comparison of syntactic and non-syntactic methods. PhD thesis, Computer Science Department, Cornell University. Fagan, J. (1989). The effectiveness of a nonsyntactic approach to automatic phrase indexing for document retrieval. Journal of the American Society for Information Science, 40(2):115–132. Fagin, R.
He believes this is a concept “almost as important as that of probability itself’ (Good, 1950, p. 249). The Use of Exploratory Data Analysis in Information Retrieval Research 41 In (Good, 1983a, chap. 4), Good points out that, in various guises, the notion of weight of evidence had appeared in the work of others. As early as 1878, the quantity given in eq. 1 appears in the work of the philosopher Charles Sanders Pierce. Good credits Pierce with the original use of the term weight of evidence. More recently, Minsky and Selfridge also refer to this quantity and call it weight of evidence as well (Minsky and Selfridge, 1961).
The INQUERY search system provides a number of these “canonical” combination formulas as query operators. The three described above are #and, #sum, and #wsum. e. is this document represented by a particular term from a representation vocabulary) and constructing queries using those representation nodes. The queries for each representation are combined using operators such as #wsum (Rajashekar and Croft, 1995). For example, there may be nodes corresponding to word-based terms and nodes corresponding to controlled vocabulary terms.