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Lightweight Document Matching for Help Desk Applications (1999)  (Make Corrections)  (2 citations)
Sholom Weiss, Brian White, Chid Apte, Fred Damerau
IEEE Intelligent Systems



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Abstract: We describe a fast documentmatcher that matches new documents to those stored in a database. The matcher lists in order those stored documents that are most similar to the new document. The new documents are typically detailed problem descriptions or free form textual queries of unlimited length, and the stored documents are potential answers suchasfrequently asked questions or service tips. The method uses minimal data structures and lightweight scoring algorithms to compute efficiently ... (Update)

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...all remaining vector entries to zero. An alternative approach to selecting a subset of features for a document, described in [Weiss et al. 2000 ] assumes that documents are carefully composed and have effective titles. Title words are always indexed along with the k most...

.... study showed that in an IR environment, where more than one recommendation is made, simpler algorithms can be surprisingly effective[8]. We relied on published results for the alternative, highly specialized collaborative filtering methods. Our method is restricted to...

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BibTeX entry:   (Update)

S. Weiss, B. White, C. Apt'e, and F. Damerau. Lightweight documentmatching for help-desk applications. IEEE Intelligent Systems, page in press, 2000. http://citeseer.ist.psu.edu/article/weiss99lightweight.html   More

@article{ weiss00lightweight,
    author = "Sholom M. Weiss and Brian F. White and Chidanand Apte and Fred Damerau",
    title = "Lightweight Document Matching for Help-Desk Applications",
    journal = "IEEE Intelligent Systems",
    volume = "15",
    number = "2",
    pages = "57-61",
    year = "2000",
    url = "citeseer.ist.psu.edu/article/weiss99lightweight.html" }
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