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ECIR
2011
Springer
10 years 4 months ago
Classifying with Co-stems - A New Representation for Information Filtering
Besides the content the writing style is an important discriminator in information filtering tasks. Ideally, the solution of a filtering task employs a text representation that m...
Nedim Lipka, Benno Stein
ECIR
2011
Springer
10 years 4 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
ECIR
2011
Springer
10 years 4 months 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
ECIR
2011
Springer
10 years 4 months ago
Enhancing Deniability against Query-Logs
We propose a method for search privacy on the Internet, focusing on enhancing plausible deniability against search engine query-logs. The method approximates the target search resu...
Avi Arampatzis, Pavlos Efraimidis, George Drosatos
ECIR
2011
Springer
10 years 4 months ago
A Methodology for Evaluating Aggregated Search Results
Aggregated search is the task of incorporating results from different specialized search services, or verticals, into Web search results. While most prior work focuses on deciding...
Jaime Arguello, Fernando Diaz, Jamie Callan, Ben C...
ECIR
2011
Springer
10 years 4 months 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
10 years 4 months ago
Learning Models for Ranking Aggregates
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
Craig Macdonald, Iadh Ounis
ECIR
2011
Springer
10 years 4 months ago
Fractional Similarity: Cross-Lingual Feature Selection for Search
Abstract. Training data as well as supplementary data such as usagebased click behavior may abound in one search market (i.e., a particular region, domain, or language) and be much...
Jagadeesh Jagarlamudi, Paul N. Bennett
ECIR
2011
Springer
10 years 4 months ago
A User-Oriented Model for Expert Finding
Expert finding addresses the problem of retrieving a ranked list of people who are knowledgeable on a given topic. Several models have been proposed to solve this task, but so far...
Elena Smirnova, Krisztian Balog
ECIR
2011
Springer
10 years 4 months ago
Introducing the User-over-Ranking Hypothesis
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Benno Stein, Matthias Hagen
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