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WSDM
2016
ACM
126views Data Mining» more  WSDM 2016»
2 years 8 months ago
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering
Collaborative Filtering (CF) is the most popular method for recommender systems. The principal idea of CF is that users might be interested in items that are favorited by similar ...
Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Ya...
WSDM
2016
ACM
115views Data Mining» more  WSDM 2016»
2 years 8 months ago
Modeling and Predicting Learning Behavior in MOOCs
Massive Open Online Courses (MOOCs), which collect complete records of all student interactions in an online learning environment, offer us an unprecedented opportunity to analyze...
Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, ...
WSDM
2016
ACM
103views Data Mining» more  WSDM 2016»
2 years 8 months ago
DiFacto: Distributed Factorization Machines
Factorization Machines offer good performance and useful embeddings of data. However, they are costly to scale to large amounts of data and large numbers of features. In this pap...
Mu Li, Ziqi Liu, Alexander J. Smola, Yu-Xiang Wang
WSDM
2016
ACM
98views Data Mining» more  WSDM 2016»
2 years 8 months ago
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior
Consumer spending accounts for a large fraction of economic footprint of modern countries. Increasingly, consumer activity is moving to the web, where digital receipts of online p...
Farshad Kooti, Kristina Lerman, Luca Maria Aiello,...
WSDM
2016
ACM
93views Data Mining» more  WSDM 2016»
2 years 8 months ago
Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial
In this tutorial we give an overview of click models for web search. We show how the framework of probabilistic graphical models helps to explain user behavior, build new evaluati...
Aleksandr Chuklin, Ilya Markov, Maarten de Rijke
Data Mining
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