Social recommendation based on a rich aggregation model

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


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.

Original languageEnglish
Title of host publicationRecommender Systems for the SocialWeb
EditorsJose Pazos Arias, Rebeca Daz Redondo, Ana Fernandez Vilas
Number of pages15
StatePublished - 1 Dec 2012
Externally publishedYes

Publication series

NameIntelligent Systems Reference Library
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

ASJC Scopus subject areas

  • Computer Science (all)
  • Information Systems and Management
  • Library and Information Sciences


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