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UM
2009
Springer
110views Programming Languages» more  UM 2009»
How Users Perceive and Appraise Personalized Recommendations
12 years 10 months ago
How Users Perceive and Appraise Personalized Recommendations
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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
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