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AAAI
2004
13 years 6 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
IRAL
2003
ACM
13 years 10 months ago
An approach for combining content-based and collaborative filters
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
Qing Li, Byeong Man Kim
ICSE
2011
IEEE-ACM
12 years 8 months ago
StakeSource2.0: using social networks of stakeholders to identify and prioritise requirements
Software projects typically rely on system analysts to conduct requirements elicitation, an approach potentially costly for large projects with many stakeholders and requirements....
Soo Ling Lim, Daniela Damian, Anthony Finkelstein
IIR
2010
13 years 6 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
RECSYS
2010
ACM
13 years 5 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street