2009 · 238 citations · 22 references
ComputingComputer ScienceDatabasesInformation RetrievalPerformance MeasurementBenchmarkingEvaluation Of Retrieval SystemsWeb SearchAd Hoc RetrievalInformation Retrieval EvaluationLongitudinal ComparisonRetrieval Effectiveness MeasuresRetrieval EvaluationTest CollectionsTrec EvaluationTrec Evaluation Framework
The existence and use of standard test collections in information retrieval experimentation allows results to be compared between research groups and over time. Such comparisons, however, are rarely made. Most researchers only report results from their own experiments, a practice that allows lack of overall improvement to go unnoticed. In this paper, we analyze results achieved on the TREC Ad-Hoc, Web, Terabyte, and Robust collections as reported in SIGIR (1998--2008) and CIKM (2004--2008). Dozens of individual published experiments report effectiveness improvements, and often claim statistical significance. However, there is little evidence of improvement in ad-hoc retrieval technology over the past decade. Baselines are generally weak, often being below the median original TREC system. And in only a handful of experiments is the score of the best TREC automatic run exceeded. Given this finding, we question the value of achieving even a statistically significant result over a weak baseline. We propose that the community adopt a practice of regular longitudinal comparison to ensure measurable progress, or at least prevent the lack of it from going unnoticed. We describe an online database of retrieval runs that facilitates such a practice.
22
Relevance-Based Language Models
Victor Lavrenko, W. Bruce Croft · ACM SIGIR Forum · 2017 · 1.4K citations
Relevance based language models
Victor Lavrenko, W. Bruce Croft · 2001 · 1K citations
A Markov random field model for term dependencies
Donald Metzler, W. Bruce Croft · 2005 · 849 citations