Interactive Construction of Query Language Models - UIUC TREC 2005 HARD Track Experiments
نویسندگان
چکیده
In the language modeling approach, feedback is often modeled as estimating an improved query model or relevance model based on a set of feedback documents [3, 1]. This is in line with the traditional way of doing relevance feedback – presenting the user with documents or passages for relevance judgment and then extracting terms from the judged documents or passages to improve a query model. Such an indirect way of obtaining help from a user to construct a query model has the drawback that irrelevant terms that occur with relevant ones in the judged content may be erroneously used for query model modification.
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