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KDD
2009
ACM
305views Data Mining» more  KDD 2009»
14 years 10 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
SIGMOD
2010
ACM
189views Database» more  SIGMOD 2010»
14 years 2 months ago
Recsplorer: recommendation algorithms based on precedence mining
We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
Aditya G. Parameswaran, Georgia Koutrika, Benjamin...
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
13 years 1 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
CNSR
2007
IEEE
181views Communications» more  CNSR 2007»
14 years 1 months ago
The Application of Users' Collective Experience for Crafting Suitable Search Engine Query Recommendations
Search engines have turned into one of the most important services of the Web that are frequently visited by any user. They assist their users in finding appropriate information. ...
Faezeh Ensan, Ebrahim Bagheri, Mohsen Kahani
RECSYS
2010
ACM
13 years 10 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho