The Universal Recommender

Details The Universal Recommender The Universal Recommender

2009-09-18

arxiv.org/abs/0909.3472v2

Computer Science

Information Retrieval

17 pages; typo and references fixed

Scientific paper

We describe the Universal Recommender, a recommender system for semantic datasets that generalizes domain-specific recommenders such as content-based, collaborative, social, bibliographic, lexicographic, hybrid and other recommenders. In contrast to existing recommender systems, the Universal Recommender applies to any dataset that allows a semantic representation. We describe the scalable three-stage architecture of the Universal Recommender and its application to Internet Protocol Television (IPTV). To achieve good recommendation accuracy, several novel machine learning and optimization problems are identified. We finally give a brief argument supporting the need for machine learning recommenders.

Affiliated with

Also associated with

No associations

Rating

The Universal Recommender does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The Universal Recommender, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Universal Recommender will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-277155