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» Predicting the popularity of online content
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CIMCA
2008
IEEE
14 years 2 months ago
Seller's Strategies for Predicting Winning Bid Prices in Online Auctions
Online auctions have become extremely popular in recent years. Ability to predict winning bid prices accurately can help bidders to maximize their profit. This paper proposes a nu...
Yevgeniya Kovalchuk
CSE
2009
IEEE
14 years 9 days ago
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
—The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, ther...
Sai T. Moturu, Jian Yang, Huan Liu
SIGIR
2004
ACM
14 years 1 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
SIGIR
2008
ACM
13 years 7 months ago
Detecting synonyms in social tagging systems to improve content retrieval
Collaborative tagging used in online social content systems is naturally characterized by many synonyms, causing low precision retrieval. We propose a mechanism based on user pref...
Maarten Clements, Arjen P. de Vries, Marcel J. T. ...
IPPS
2005
IEEE
14 years 1 months ago
Predicting Cache Space Contention in Utility Computing Servers
The need to provide performance guarantee in high performance servers has long been neglected. Providing performance guarantee in current and future servers is difficult because ...
Yan Solihin, Fei Guo, Seongbeom Kim