Second order online collaborative filtering
Collaborative Filtering (CF) is one of the most successful learning techniques in building real-world recommender systems. Traditional CF algorithms are often based on batch machine learning methods which suffer from several critical drawbacks, e.g., extremely ex- pensive model retraining cost whene...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/103092 http://hdl.handle.net/10220/24401 http://jmlr.org/proceedings/papers/v29/Lu13.html |
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Institution: | Nanyang Technological University |
Language: | English |
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