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ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 1 months ago
Embedding Emotional Context in Recommender Systems
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
Gustavo González, Josep Lluís de la ...
FOCS
1998
IEEE
13 years 11 months ago
Recommendation Systems: A Probabilistic Analysis
A recommendation system tracks past actions of a group of users to make recommendations toindividualmembersofthe group. The growth ofcomputer-mediatedmarketingandcommerce has led ...
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopala...
OHS
2001
Springer
13 years 12 months ago
Integrating User Data and Collaborative Filtering in a Web Recommendation System
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...
Paolo Buono, Maria Francesca Costabile, Stefano Gu...
SIGIR
2012
ACM
11 years 10 months ago
BReK12: a book recommender for K-12 users
Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the...
Maria Soledad Pera, Yiu-Kai Ng
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 2 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...