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» On Scalable Information Retrieval Systems
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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 7 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
SIGIR
2008
ACM
15 years 6 months ago
Algorithmic mediation for collaborative exploratory search
We describe a new approach to information retrieval: algorithmic mediation for intentional, synchronous collaborative exploratory search. Using our system, two or more users with ...
Jeremy Pickens, Gene Golovchinsky, Chirag Shah, Pe...
IUI
2000
ACM
15 years 11 months ago
User interactions with everyday applications as context for just-in-time information access
Our central claim is that user interactions with everyday productivity applications (e.g., word processors, Web browsers, etc.) provide rich contextual information that can be lev...
Jay Budzik, Kristian J. Hammond
NAACL
2003
15 years 8 months ago
TIPS: A Translingual Information Processing System
Searching online information is increasingly a daily activity for many people. The multilinguality of online content is also increasing (e.g. the proportion of English web users, ...
Yaser Al-Onaizan, Radu Florian, Martin Franz, Hany...
VLDB
2005
ACM
132views Database» more  VLDB 2005»
16 years 7 months ago
Hash-based labeling techniques for storage scaling
Scalable storage architectures allow for the addition or removal of storage devices to increase storage capacity and bandwidth or retire older devices. Assuming random placement of...
Shu-Yuen Didi Yao, Cyrus Shahabi, Per-Åke Larson