Recommendation using Machine learning algorithms.

Can we incorporate serendipity in the algorithm[^1]? (more on google scholar page: http://scholar.google.com/scholar?hl=en&q=serendipity+recommendation&btnG=&as_sdt=1%2C15&as_sdtp)

• Recommender systems wiki
• wiki: Collaborative filtering

Topics #

• Netflix prize

Articles #

• http://engineering.foursquare.com/2011/03/22/building-a-recommendation-engine-foursquare-style/
• Recommender systems, Part 1: Introduction to approaches and algorithms
  • Recommender systems, Part 2: Introducing open source engines

References #

• Introduction to Recommender Systems Handbook
• Recommender Systems
• Navigability of Recommendation Networks

temporal #

• Time weight collaborative filtering - let's put more emphasis on recent items.
• Collaborative filtering with temporal dynamics

[^1]: Zhang, Yuan Cao; Séaghdha, Diarmuid Ó; Quercia, Daniele; Jambor, Tamas (2012). Auralist. pp. 13. doi:10.1145/2124295.2124300.

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• Machine learning

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