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Contributions to Collaborative Filtering Research Public Deposited

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https://ir.library.oregonstate.edu/concern/graduate_projects/r781wg092

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  • In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In the next three chapters, I described my contributions to these three areas: (a) my work on the CoFE recommendation engine; (b) my work on the SVD based algorithm; and (c) my attempt to design a new algorithm for the iTunes play count data. A summary and prospects for future work are given in the final chapter.
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  • description.provenance : Submitted by Laura Wilson (laura.wilson@oregonstate.edu) on 2012-08-08T15:19:49ZNo. of bitstreams: 12004-72.pdf: 274202 bytes, checksum: 0f88af1d90055e8457052be14361cc9e (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2012-08-08T15:20:55Z (GMT) No. of bitstreams: 12004-72.pdf: 274202 bytes, checksum: 0f88af1d90055e8457052be14361cc9e (MD5)
  • description.provenance : Made available in DSpace on 2012-08-08T15:20:55Z (GMT). No. of bitstreams: 12004-72.pdf: 274202 bytes, checksum: 0f88af1d90055e8457052be14361cc9e (MD5) Previous issue date: 2004

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