Recommender systems, notably collaborative and hybrid information filtering approaches, vitally depend on neighborhood formation, i.e., selecting small subsets of most relevant pee...
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-...
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...
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...
It has previously been shown that a recommender based on immune system idiotypic principles can outperform one based on correlation alone. This paper reports the results of work i...