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DMIN
2007
183views Data Mining» more  DMIN 2007»
15 years 8 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 10 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
IJCAI
2007
15 years 8 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
KDD
2003
ACM
99views Data Mining» more  KDD 2003»
16 years 7 months ago
Fragments of order
High-dimensional collections of 0-1 data occur in many applications. The attributes in such data sets are typically considered to be unordered. However, in many cases there is a n...
Aristides Gionis, Teija Kujala, Heikki Mannila
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 9 months ago
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Video dissemination through sites such as YouTube can have widespread impacts on opinions, thoughts, and cultures. Not all videos will reach the same popularity and have the same ...
Youmna Borghol, Sebastien Ardon, Niklas Carlsson, ...