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» Evaluating the markov assumption for web usage mining
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AIRWEB
2007
Springer
14 years 4 months ago
Using Spam Farm to Boost PageRank
Nowadays web spamming has emerged to take the economic advantage of high search rankings and threatened the accuracy and fairness of those rankings. Understanding spamming techniq...
Ye Du, Yaoyun Shi, Xin Zhao
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 10 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
AAAI
2010
13 years 11 months ago
Towards an Intelligent Code Search Engine
Software developers increasingly rely on information from the Web, such as documents or code examples on Application Programming Interfaces (APIs), to facilitate their development...
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun...
WWW
2008
ACM
14 years 10 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
TKDE
2008
115views more  TKDE 2008»
13 years 9 months ago
Time-Aware Web Users' Clustering
Web users clustering is a crucial task for mining information related to users needs and preferences. Up to now, popular clustering approaches build clusters based on usage pattern...
Sophia G. Petridou, Vassiliki A. Koutsonikola, Ath...