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This document discusses the Learning to Rank workshop held at the SIGIR 2008 conference. It explores various machine learning techniques for ranking, particularly focusing on the sentence selection task in query-biased summarization. It evaluates several algorithmic approaches including support vector machines, regression models, and gradient boosted decision trees, discussing their effectiveness and various metrics for evaluation.
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Who needs sigir 2008 workshop?
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What is sigir workshop?
The SIGIR Workshop is a seminar that focuses on advancements and research in the field of information retrieval, allowing participants to share ideas and collaborate.
Who is required to file sigir workshop?
Participants, researchers, and contributors in the field of information retrieval are generally required to file and submit their findings or papers for the SIGIR Workshop.
How to fill out sigir workshop?
To fill out the SIGIR Workshop submission, participants need to follow the specific guidelines provided on the workshop's official website, which typically includes formatting requirements and submission protocols.
What is the purpose of sigir workshop?
The purpose of the SIGIR Workshop is to facilitate knowledge sharing, promote collaboration among researchers, and discuss recent developments and future directions in information retrieval.
What information must be reported on sigir workshop?
Report on the SIGIR Workshop must include the research title, author(s), abstract, methodology, findings, and implications of the research work.
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