Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...
We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, ...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...