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EPIA
2009
Springer
13 years 10 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
KES
2004
Springer
13 years 11 months ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko
AINA
2009
IEEE
13 years 11 months ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
TJS
2010
72views more  TJS 2010»
13 years 4 months ago
u-BabSang: a context-aware food recommendation system
In this paper, we propose a context-aware food recommendation system for well-being care applications. The proposed system, called u-BabSang, provides individualized food recommend...
Yoosoo Oh, Ahyoung Choi, Woontack Woo
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 18 days ago
Context-Based Recommender Systems in Conventional Grocery--An Economic Analysis
In today’s grocery the products are getting more homogenous and attributes are getting more complex. Consumers should be supported in their decisions during the shopping process...
Daniel Ch. Buser