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Implicit feedback techniques appear to be attractive candidates to improve retrieval performance through relevance feedback without requiring more effort on the part of the user. Implicit feedback techniques gather data indirectly from the user by monitoring behaviors of the user during searching. If information about a document’s relevance to a user’s query can be gathered passively rather than actively, then users can experience the benefits of relevance feedback without having to expend any additional effort. Implicit feedback techniques have been primarily investigated in information filtering and recommendation systems [2, 3, 5, 7]. Behaviors most extensively investigated as sources for implicit feedback have been reading, saving and printing. For instance,[5] found that the major factor influencing the amount of time a user spends with a news article is the user’s preference for that article. Specifically,[5] found …