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http://www.cs.cmu.edu/~ggordon/singh-gordon-kdd-factorization.pdf
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従来のMatrix Factorization(MF)では、pair-wiseなrelation(たとえば映画とユーザと、映画に対するユーザのrating)からRating Matrixを生成し、その行列を分解していたが、multipleなrelation(たとえば、user-movie ratingの5-scale Matrixとmovie - genreの binary Matrixなど)を扱うことができなかったので、それを可能にした話。 これができると、たとえば ユーザの映画に対するratingを予測する際に、あるユーザが特定のジャンルの映画に対して高いratingを付けるような情報も考慮して予測ができたりする。
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http://www.cs.cmu.edu/~ggordon/singh-gordon-kdd-factorization.pdf
The text was updated successfully, but these errors were encountered: