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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 7 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
16 years 6 months ago
High-performance complex event processing over streams
In this paper, we present the design, implementation, and evaluation of a system that executes complex event queries over real-time streams of RFID readings encoded as events. The...
Eugene Wu 0002, Yanlei Diao, Shariq Rizvi
RECSYS
2009
ACM
16 years 1 months ago
Harnessing the power of "favorites" lists for recommendation systems
We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
Maryam Khezrzadeh, Alex Thomo, William W. Wadge
AH
2008
Springer
16 years 1 months ago
Concept-Based Document Recommendations for CiteSeer Authors
The information explosion in today’s electronic world has created the need for information filtering techniques that help users filter out extraneous content to identify the righ...
Kannan Chandrasekaran, Susan Gauch, Praveen Lakkar...
184
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GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
16 years 25 days ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis