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» Mining Web Graphs for Recommendations
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82
Voted
KDD
2001
ACM
154views Data Mining» more  KDD 2001»
16 years 3 months ago
A spectral method to separate disconnected and nearly-disconnected web graph components
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha
127
Voted
ATAL
2005
Springer
15 years 9 months ago
Implicit: an agent-based recommendation system for web search
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...
167
Voted
CIKM
2008
Springer
15 years 5 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
140
Voted
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
16 years 3 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
131
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 3 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri