An Architecture for Behavior-Based Library Recommender Systems

This article by Andreas Geyer- Schulz, Andreas Neumannn, and Anke Thede talk about a way to integrate recommender systems in traditional libraries.

more on this article can be found @

http://www.ala.org/ala/lita/litapublications/ital/2204geyer.cfm

Interaction with movieLens

Movielens finally put a movie I was dying to watch but never got a chance to on my list. When I started, the recommendations were pretty crappy in the sense that some of the movies recommended where very old. Now after rated almost 64 movies, they started getting a sense of my taste and preference.
This week, I've been recommended "cloverfield" which I was planning to watch. but one thing I don't like about the recommendation is that they don't tell exactly why the recommendation is a good fit. it will be very helpful to the user if they can put a little summary of the movie so the user can judge the quality of the recommendation.