PHOAKS: a system for sharing recommendations

PHOAKS (People Helping One Another Know Stuff) is an experimental system designed to help
users locate information on the World Wide Web. Using a collaborative filtering approach, it sifts
through Usenet news messages and automatically identifies, keeps track of and redeploys
recommendations of Web resources. PHOAKS differs from other recommender systems in that it
is based on the principles of role specialization and reuse.

Here is the link for the document: http://www.ischool.utexas.edu/~i385d/readings/Terveen_PHOAKS_97.pdf

An MDP-Based Recommender System

Hi

I found a new recommender system called "Markov Decision Process Based Recommendation System". Unlike typical recommender system which focuses on static view of recommendation system, MDP based recommender system takes into account the long term effect of each recommendation and the expected value of each recommendation. The entire document can be found at

http://jmlr.csail.mit.edu/papers/volume6/shani05a/shani05a.pdf

Thanks

Privacy Risks in Recommender Systems

There is always a dillema about where the boundry of personalization ends and when it breaks someone's privacy. The following paper uses a graph-theoretic model to study the benefit from and risk to straddlers.

http://people.cs.vt.edu/~naren/papers/ppp.pdf