Quantifying the multi-user account problem for collaborative filtering based recommender systems
Identification based recommender systems make no distinction between users and accounts; all the data collected during account sessions are attributed to a single user. In reality this is not necessarily true for all accounts; several different users who have distinct, and possibly very different, p...
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| Format: | Others |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/2152/ETD-UT-2009-12-460 |