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» Methods for boosting recommender systems
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SIGIR
2012
ACM
11 years 10 months ago
Predicting the ratings of multimedia items for making personalized recommendations
Existing multimedia recommenders suggest a specific type of multimedia items rather than items of different types personalized for a user based on his/her preference. Assume tha...
Rani Qumsiyeh, Yiu-Kai Ng
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
14 years 2 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
ICIP
2009
IEEE
14 years 8 months ago
Boosting Object Retrieval By Estimating Pseudo-objects
State-of-the-art object retrieval systems are mostly based on the bag-of-visual-words representation which encodes local appearance information of an image in a feature vector. A ...
MM
2009
ACM
133views Multimedia» more  MM 2009»
14 years 10 days ago
Friend recommendation according to appearances on photos
Unlike the questionnaire based friend recommendation scheme used in Social Network Service (SNS) websites nowadays (e.g. online dating sites, online matchmaking sites), we focus o...
Zhipeng Wu, Shuqiang Jiang, Qingming Huang
CVPR
2001
IEEE
14 years 9 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones