Those of you interested in personalization issues might want to take a look at a couple of interesting presentations (PowerPoint slides) from a Yahoo Research Labs workshop on recommender systems that was held in August
A recommender system is an automated algorithm for providing personalized recommendations (for movies, or music, or restaurants, for example) to a user, often by looking for relationships between that user and a large base of other users. In a sense, a recommender system automates the social process of obtaining referrals or recommendations from like-minded friends.
The presentations were given by:
+ Professor John Riedl, University of Minnesota
"Recommender Systems: Evolution of Collaborative Filtering Recommender Interfaces"
Note: Dr. Riedl is a member of the Group Lens project. One of their projects, MovieLens, offers free access to a movie recommendation service.
+ Jon Herlocker, Oregon State University
Collaborative Filtering: Some Comments on the State of the Art
Search and traffic sourcing are both crucial to luring shoppers to your website. In this article, "2 Successful Holiday Strategies for Online Retail", you'll learn how to use a two-pronged approach for your holiday search campaigns that combine top keywords with the best referral sites. Data in this article comes from SimilarWeb.