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» An Analysis of Factors Used in Search Engine Ranking
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MMM
2012
Springer
294views Multimedia» more  MMM 2012»
12 years 4 months ago
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
Rank-based fusion is indispensable in multiple search setups in lack of item retrieval scores, such as in meta-search with non-cooperative engines. We introduce a novel, simple, an...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...
WWW
2010
ACM
14 years 3 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
SIGIR
2004
ACM
14 years 2 months ago
Block-level link analysis
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis al...
Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma
BMCBI
2010
151views more  BMCBI 2010»
13 years 8 months ago
TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
IDA
2009
Springer
14 years 3 months ago
Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
Paris Smaragdis, Madhusudana V. S. Shashanka, Bhik...