RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
This paper presents a new memory-based approach to Collaborative Filtering where the neighbors of the active user will be selected taking into account their predictive capability....
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
A functional dependency is a logical relationship amongst the attributes that define a table of data. Specifically, a functional dependency holds when the values of a subset of ...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
RECSYS
2009
ACM
14 years 6 months ago
2009
ACM
Current conversational recommender systems are unable to offer guarantees on the quality of their recommendations due to a lack of principled user utility models. We develop an ap...