Improving Novelty in Streaming Recommendation Using a Context Model

4th Workshop on Context-Aware Recommender Systems; in conjunction with the 6th ACM Conference on Recommender Systems (RecSys 2012)

Doina Alexandra Dumitrescu Simone Santini

Others  :  http://ceur-ws.org/Vol-889/paper3.pdf
PID  :  43401

来源: CEUR

【 摘 要 】

In recent years there has been an increasing research interest in novelty/diversity detection in Information Retrieval and in Recommendation Systems. We propose a model that in- creases the novelty of recommendations using a context user prole that was created automatically using self-organizing maps. Our system was evaluated on the Reuters Corpus Volume 1 and our experiments show that ltering the recom- mended items using a novelty score derived from the context- based user prole provides better search results in terms of