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IR
2011
14 years 4 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
IPM
2011
91views more  IPM 2011»
14 years 25 days ago
Measuring the interestingness of articles in a limited user environment
Abstract-Search engines, such as Google, assign scores to news articles based on their relevancy to a query. However, not all relevant articles for the query may be interesting to ...
Raymond K. Pon, Alfonso F. Cardenas, David Buttler...
CLEF
2011
Springer
13 years 9 months ago
Towards a Living Lab for Information Retrieval Research and Development - A Proposal for a Living Lab for Product Search Tasks
Abstract. The notion of having a “living lab” to undertaken evaluations has been proposed by a number of proponents within the field of Information Retrieval (IR). However, wh...
Leif Azzopardi, Krisztian Balog
ECIR
2011
Springer
14 years 28 days ago
Visual Exploration of Health Information for Children
Abstract. Children experience several difficulties retrieving information using current Information Retrieval (IR) systems. Particularly, children struggle to find the right keywo...
Frans van der Sluis, Sergio Duarte Torres, Djoerd ...
ECIR
2011
Springer
14 years 28 days ago
A Novel Re-ranking Approach Inspired by Quantum Measurement
Abstract. Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QP...
Xiaozhao Zhao, Peng Zhang, Dawei Song, Yuexian Hou