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» Novelty and diversity in information retrieval evaluation
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KAIS
2006
95views more  KAIS 2006»
13 years 7 months ago
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Unprecedented amounts of media data are publicly accessible. However, it is increasingly difficult to integrate relevant media from multiple and diverse sources for effective appli...
K. Selçuk Candan, Jong Wook Kim, Huan Liu, ...
IMC
2010
ACM
13 years 5 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
WWW
2009
ACM
14 years 8 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
WWW
2005
ACM
14 years 8 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 6 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang