document: A user-tunable approach to marketplace search The notion of relevance is key to the performance of search engines as they interpret the user queries and respond with matching results . Online search engines have used other features beyond pure IR features to return relevant matching documents . However , over-emphasis on relevance could lead to redundancy in search results . In document search , diversity is simply the variety of documents that span the result set . In an online marketplace the diversity in the result set is represented by items for sale by different sellers at different prices with different sales options . For such a marketplace , in order to minimize query abandonment and the risk of dissatisfaction to the average user , several factors like diversity , trust and value need to be taken into account . Previous work in this field ( 4 ) has shown an impossibility result that there exists no such function that can optimize for all these factors . Since these factors and the measures associated with the factors could be subjective we take an approach of giving the control back to the user . In this paper we describe an interface which enables users to have more control over the optimization function used to present the results . We demonstrate this for search on eBay - one of the largest online marketplaces with a vibrant user community and dynamic inventory . We use an algorithm based on bounded greedy selection ( 5 ) to construct the result set based on parameters specified by the user .
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