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» An Analysis of Factors Used in Search Engine Ranking
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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 9 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
ICSM
2009
IEEE
13 years 6 months ago
Assessing the impact of framework changes using component ranking
Most of today's software applications are built on top of libraries or frameworks. Just as applications evolve, libraries and frameworks also evolve. Upgrading is straightfor...
Reishi Yokomori, Harvey P. Siy, Masami Noro, Katsu...
WWW
2006
ACM
14 years 9 months ago
Searching with context
Contextual search refers to proactively capturing the information need of a user by automatically augmenting the user query with information extracted from the search context; for...
Reiner Kraft, Chi-Chao Chang, Farzin Maghoul, Ravi...
SIGIR
2010
ACM
14 years 19 days ago
A ranking approach to target detection for automatic link generation
We focus on the task of target detection in automatic link generation with Wikipedia, i.e., given an N-gram in a snippet of text, find the relevant Wikipedia concepts that explai...
Jiyin He, Maarten de Rijke
SOCIALCOM
2010
13 years 6 months ago
Precursors and Laggards: An Analysis of Semantic Temporal Relationships on a Blog Network
We explore the hypothesis that it is possible to obtain information about the dynamics of a blog network by analysing the temporal relationships between blogs at a semantic level, ...
Telmo Menezes, Camille Roth, Jean-Philippe Cointet