4 posts tagged with #recommendation

Collaborative Filtering

2020-08-25 — Written by jslee
#recommendation

content-based filtering의 한계를 해결하기 위해서, collaborative filtering은 users와 items 사이의 similarity를 동시에 사용하여 추천을 한다. 이 방법론은 우연한serendipitous…

Read more →

Content-based Filtering

2020-08-25 — Written by jslee
#content-based-filtering#recommendation

content-based filtering은 item feature를 사용하여 이전 actions이나 explicit feedback을 기반으로 사용자가 좋아하는것과 유사한 다른 항목을 추천 Google Play…

Read more →

Google Recommendation Systems

2020-08-25 — Written by jslee
#machine learning#recommendation

Recommendation Systems components candidate generation scoring re-ranking Candidate Generation generates a much smaller subsets of…

Read more →

Matrix Factorization

2020-08-25 — Written by jslee
#collaborative filtering#recommendation#embedding#model

Matrix factorization은 simple embedding model이다. feedback matrix(m x n)가 주어졌을때, m은 users의 수, n은 items의 수: user embedding matrix를 U (m x d…

Read more →
All tags
@doubly