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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 5 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...
CVPR
2012
IEEE
13 years 5 months ago
Computing nearest-neighbor fields via Propagation-Assisted KD-Trees
Matching patches between two images, also known as computing nearest-neighbor fields, has been proven a useful technique in various computer vision/graphics algorithms. But this ...
Kaiming He, Jian Sun
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 4 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard Gr...
146
Voted
WWW
2008
ACM
16 years 4 months ago
Finding the right facts in the crowd: factoid question answering over social media
Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, to find out an obscure piece of trivia, it is now ...
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...
WWW
2007
ACM
16 years 4 months ago
GigaHash: scalable minimal perfect hashing for billions of urls
A minimal perfect function maps a static set of keys on to the range of integers {0,1,2, ... , - 1}. We present a scalable high performance algorithm based on random graphs for ...
Kumar Chellapilla, Anton Mityagin, Denis Xavier Ch...