Statistical language models have recently been successfully applied to many information
retrieval problems. A great deal of recent work has shown that statistical language models …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Language modeling approaches to information retrieval are attractive and promising
because they connect the problem of retrieval with that of language model estimation, which …

There have been a number of linear, feature-based models proposed by the information
retrieval community recently. Although each model is presented differently, they all share a …

New types of document collections are being developed by various web services. The
service providers keep track of non-textual features such as click counts. In this paper, we …

Discriminative models have been preferred over generative models in many machine
learning problems in the recent past owing to some of their attractive theoretical properties …

We explore the relationship between time and relevance using TREC ad-hoc queries. A type
of query is identified that favors very recent documents. We propose a time-based language …

This paper investigates the pre-conditions for successful combination of document
representations formed from structural markup for the task of known-item search. As this task …

It was observed as early as 1994 that anchor text in web documents is very useful in
improving the quality of web text search. In spite of the fact that many commercial search …

The ad hoc retrieval task is to find documents in a corpus that are relevant to a query.
Inspired by the PageRank and HITS (hubs and authorities) algorithms for Web search, we …