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We present a statistical method called Covering Topic Score (CTS) to predict query performance for information retrieval. Estimation is based on how well the topic of a user's query is covered by documents retrieved from a certain retrieval system. Our approach is conceptually simple and intuitive, and can be easily extended to incorporate features beyond(More)
This paper presents a novel, ranking-style word segmentation approach, called RSVM-Seg, which is well tailored to Chinese information retrieval(CIR). This strategy makes seg-mentation decision based on the ranking of the internal associative strength between each pair of adjacent characters of the sentence. On the training corpus composed of query items, a(More)
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