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ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
13 years 9 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 3 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 1 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»
14 years 11 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 3 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