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» How Users Perceive and Appraise Personalized Recommendations
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UM
2009
Springer
13 years 11 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
ICWSM
2010
13 years 2 months ago
"How Incredibly Awesome!" - Click Here to Read More
We investigate the impact of a discussion snippet’s overall sentiment on a user’s willingness to read more of a discussion. Using sentiment analysis, we constructed positive, ...
Hyung-il Ahn, Werner Geyer, Casey Dugan, David R. ...
UM
2010
Springer
13 years 9 months ago
A Study on User Perception of Personality-Based Recommender Systems
Our previous research indicates that using personality quizzes is a viable and promising way to build user profiles to recommend entertainment products. Based on these findings, ...
Rong Hu, Pearl Pu
PST
2004
13 years 5 months ago
The Sensitivities of User Profile Information in Music Recommender Systems
Personalized services can cause privacy concerns, due to the acquisition, storage and application of sensitive personal information. This paper describes empirical research into th...
Evelien van de Garde-Perik, Boris E. R. de Ruyter,...
DEBU
2008
71views more  DEBU 2008»
13 years 4 months ago
User Experiences and Impressions of Recommenders in Complex Information Environments
We studied how actual users find items of interest in today's complex, recommender-rich information environments, what role recommenders play in it, and if recommenders incre...
Juha Leino, Kari-Jouko Räihä