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» On the Consistency of Ranking Algorithms
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ICMLA
2009
13 years 5 months ago
Discovering Characterization Rules from Rankings
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...
IICS
2010
Springer
13 years 11 months ago
Local Aspects of the Global Ranking of Web Pages
Started in 1998, the search engine Google estimates page importance using several parameters. PageRank is one of those. Precisely, PageRank is a distribution of probability on the ...
Fabien Mathieu, Laurent Viennot
RECSYS
2010
ACM
13 years 5 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
WAIM
2010
Springer
13 years 5 months ago
Taming Computational Complexity: Efficient and Parallel SimRank Optimizations on Undirected Graphs
SimRank has been considered as one of the promising link-based ranking algorithms to evaluate similarities of web documents in many modern search engines. In this paper, we investi...
Weiren Yu, Xuemin Lin, Jiajin Le
SIGIR
2009
ACM
14 years 2 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...