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Ranking model construction is an important topic in information retrieval and web mining. Recently, many approaches based on the idea of “learning to rank” have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a distributional similarity measure for query-dependent ranking. In the query-dependent...
Ranking model construction is an important topic in Web mining. Recently, many approaches based on the idea of ??learning to rank?? have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a novel framework of query-dependent ranking. A simple similarity measure is used to calculate similarities...
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