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» Aggregating User-Centered Rankings to Improve Web Search
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CIKM
2008
Springer
13 years 8 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
SIGIR
2012
ACM
11 years 9 months ago
Evaluating aggregated search pages
Aggregating search results from a variety of heterogeneous sources or verticals such as news, image and video into a single interface is a popular paradigm in web search. Although...
Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. J...
CIKM
2011
Springer
12 years 6 months ago
Improved answer ranking in social question-answering portals
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
Felix Hieber, Stefan Riezler
WAW
2010
Springer
231views Algorithms» more  WAW 2010»
13 years 4 months ago
Modeling Traffic on the Web Graph
Abstract. Analysis of aggregate and individual Web requests shows that PageRank is a poor predictor of traffic. We use empirical data to characterize properties of Web traffic not ...
Mark R. Meiss, Bruno Gonçalves, Jose J. Ram...
ICWE
2007
Springer
14 years 26 days ago
Towards Improving Web Search by Utilizing Social Bookmarks
Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data f...
Yusuke Yanbe, Adam Jatowt, Satoshi Nakamura, Katsu...