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129
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 3 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
84
Voted
IUI
2006
ACM
15 years 6 months ago
Automatically classifying emails into activities
Email-based activity management systems promise to give users better tools for managing increasing volumes of email, by organizing email according to a user’s activities. Curren...
Mark Dredze, Tessa A. Lau, Nicholas Kushmerick
114
Voted
WWW
2007
ACM
16 years 1 months ago
Spam double-funnel: connecting web spammers with advertisers
Spammers use questionable search engine optimization (SEO) techniques to promote their spam links into top search results. In this paper, we focus on one prevalent type of spam ? ...
Yi-Min Wang, Ming Ma, Yuan Niu, Hao Chen
118
Voted
TASE
2007
IEEE
15 years 7 months ago
Model Checking Software at Compile Time
Software has been under scrutiny by the verification community from various angles in the recent past. There are two major algorithmic approaches to ensure the correctness of and...
Ansgar Fehnker, Ralf Huuck, Patrick Jayet, Michel ...
127
Voted
VLSI
2010
Springer
14 years 11 months ago
Design of low-complexity and high-speed digital Finite Impulse Response filters
—In this paper, we introduce a design methodology to implement low-complexity and high-speed digital Finite Impulse Response (FIR) filters. Since FIR filters suffer from a larg...
Diego Jaccottet, Eduardo Costa, Levent Aksoy, Paul...