37 search results - page 3 / 8 » Factor in the neighbors: Scalable and accurate collaborative... |
RECSYS
2010
ACM
13 years 6 months ago
2010
ACM
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
SIGIR
2002
ACM
13 years 5 months ago
2002
ACM
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
SIGIR
2009
ACM
14 years 20 days ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
AAAI
2006
13 years 7 months ago
2006
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
ICDM
2008
IEEE
14 years 18 days ago
2008
IEEE
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...