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ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
14 years 1 months ago
Rating Elicitation Strategies for Collaborative Filtering
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci
ECWEB
2004
Springer
91views ECommerce» more  ECWEB 2004»
15 years 7 months ago
On the Use of Bipolar Scales in Preference-Based Recommender Systems
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
Miguel-Ángel Sicilia, Elena García B...
AH
2006
Springer
15 years 5 months ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
Shu-Feng Pan, Ji-Hyun Lee
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
15 years 3 months ago
Performance of Recommendation Systems in Dynamic Streaming Environments
In this paper, we study the behavior of collaborative filtering based recommendations under evolving user profile scenarios. We propose a systematic validation methodology that ...
Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio...
UM
2007
Springer
15 years 7 months ago
Push-Poll Recommender System: Supporting Word of Mouth
Abstract. Recommender systems produce social networks as a side effect of predicting what users will like. However, the potential for these social networks to aid in recommending i...
Andrew Webster, Julita Vassileva