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» Using Temporal Data for Making Recommendations
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SAC
2006
ACM
14 years 9 months ago
Privacy-preserving demographic filtering
The use of recommender systems in e-commerce to guide customer choices presents a privacy protection problem that is twofold. We seek to protect the privacy interests of customers...
Esma Aïmeur, Gilles Brassard, José Man...
IMC
2010
ACM
14 years 7 months ago
The impact of YouTube recommendation system on video views
Hosting a collection of millions of videos, YouTube offers several features to help users discover the videos of their interest. For example, YouTube provides video search, relate...
Renjie Zhou, Samamon Khemmarat, Lixin Gao
99
Voted
SIGIR
2011
ACM
14 years 8 days ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
ICDCS
2007
IEEE
15 years 3 months ago
Automated Storage Reclamation Using Temporal Importance Annotations
This work focuses on scenarios that require the storage of large amounts of data. Such systems require the ability to either continuously increase the storage space or reclaim spa...
Surendar Chandra, Ashish Gehani, Xuwen Yu
ICWSM
2009
14 years 7 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...