Paper Info
Title
Comparing Recommendations Made by Online Systems and Friends
Abstract
The quality of recommendations and usability of six online rec ommender systems (RS) was examined. Three book RS (Amazon.com, RatingZone & Sleeper) and three movie RS (Amazon.com, MovieCritic, Reel.com) were evaluated. Quality of recommendations was explored by comparing recommendations made by RS to recommendatio ns m ade by the user's friends. Results showed that the user's friends consistently provided better recommendations than RS. However, users did find items recommended by online RS useful: recommended items were often "new" and "unexpected", while the items recommended by friends mostly served as reminders of previously identified interests. Usability evaluation of the RS showed that users did not mind providing more input to the system in order to get better recommendations. Also users trusted a system more if it recommended items that they had previously liked.
Year
Venue
Field
2001
DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries
Recommender system,Web usability,Internet privacy,Collaborative filtering,Appeal,Computer science,Usability,Usability lab,Premise,Sophistication
DocType
Citations 
PageRank 
Conference
185
12.22
References 
Authors
4
2
Search Limit
100185
Name
Order
Citations
PageRank
Rashmi R. Sinha180056.95
Kirsten Swearingen2109774.41