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ECIR
2007
Springer
13 years 10 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
CIKM
2008
Springer
13 years 10 months ago
Joke retrieval: recognizing the same joke told differently
In a corpus of jokes, a human might judge two documents to be the "same joke" even if characters, locations, and other details are varied. A given joke could be retold w...
Lisa Friedland, James Allan
TREC
2008
13 years 10 months ago
The University College London at TREC 2008 Enterprise Track
The University College London Information Retrieval Group participated in both the Expert Search and Document Search tasks in the TREC2008 Enterprise Track. We used a generic two-...
Jianhan Zhu
SIGIR
2008
ACM
13 years 8 months ago
Relevance judgments between TREC and Non-TREC assessors
This paper investigates the agreement of relevance assessments between official TREC judgments and those generated from an interactive IR experiment. Results show that 63% of docu...
Azzah Al-Maskari, Mark Sanderson, Paul Clough
SIGIR
2008
ACM
13 years 8 months ago
Exploiting sequential dependencies for expert finding
We propose an expert finding method based on assumption of sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the stre...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra