A new robust relevance model in the language model framework

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ct 8 In this paper, a new robust relevance model is proposed that can be applied to both pseudo and true relevance feedback 9 in the language-modeling framework for document retrieval. There are at least three main differences between our new 10 relevance model and other relevance models. The proposed model brings back the original query into the relevance model 11 by treating it as a short, special document, in addition to a number of top-ranked documents returned from the first round 12 retrieval for pseudo feedback, or a number of relevant documents for true relevance feedback. Second, instead of using a 13 uniform prior as in the original relevance model, documents are assigned with different priors according to their lengths (in 14 terms) and ranks in the first round retrieval. Third, the probability of a term in the relevance model is further adjusted by 15 its probability in a background language model. In both pseudo and true relevance cases, we have compared the perfor16 mance...

Xiaoyan Li

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