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» Recommendation Systems: A Probabilistic Analysis
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CSCW
1998
ACM
14 years 21 days ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
IFIP12
2009
13 years 6 months ago
User Recommendations based on Tensor Dimensionality Reduction
Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
Panagiotis Symeonidis
CAV
2004
Springer
202views Hardware» more  CAV 2004»
14 years 1 months ago
Statistical Model Checking of Black-Box Probabilistic Systems
Abstract. We propose a new statistical approach to analyzing stochastic systems against specifications given in a sublogic of continuous stochastic logic (CSL). Unlike past numeri...
Koushik Sen, Mahesh Viswanathan, Gul Agha
MM
2010
ACM
271views Multimedia» more  MM 2010»
13 years 6 months ago
Large-scale music tag recommendation with explicit multiple attributes
Social tagging can provide rich semantic information for largescale retrieval in music discovery. Such collaborative intelligence, however, also generates a high degree of tags un...
Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M...
ICSE
2010
IEEE-ACM
14 years 1 months ago
StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis
Projects often fail because they overlook stakeholders. Unfortunately, existing stakeholder analysis tools only capture stakeholders’ information, relying on experts to manually...
Soo Ling Lim, Daniele Quercia, Anthony Finkelstein