TY - CHAP
T1 - Social recommendation based on a rich aggregation model
AU - Guy, Ido
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This chapter describes a set of recommender systems for both people and content within the enterprise that were all built based on a rich aggregation model. The underlying infrastructure is based on a complex relationship model among three core entities: people, items, and tags. We describe the general model and the different recommender systems that were built on top, including the main results and the implications from one system to another. We conclude by highlighting the main findings and suggesting next steps and future directions.
AB - This chapter describes a set of recommender systems for both people and content within the enterprise that were all built based on a rich aggregation model. The underlying infrastructure is based on a complex relationship model among three core entities: people, items, and tags. We describe the general model and the different recommender systems that were built on top, including the main results and the implications from one system to another. We conclude by highlighting the main findings and suggesting next steps and future directions.
UR - http://www.scopus.com/inward/record.url?scp=84870772749&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25694-3_6
DO - 10.1007/978-3-642-25694-3_6
M3 - Chapter
AN - SCOPUS:84870772749
SN - 9783642256936
T3 - Intelligent Systems Reference Library
SP - 121
EP - 135
BT - Recommender Systems for the SocialWeb
A2 - Pazos Arias, Jose
A2 - Redondo, Rebeca Daz
A2 - Vilas, Ana Fernandez
ER -