Model based text similarity 공부하기 (Word2Vec, Glove, FastText)
in Data on Recommendation System
CF의 limitation을 이해하고 text data에 익숙해지기
in Data on Recommendation System
Recommendation System_Day11
Explicit feedback과 Implicit feedback에 대해 이해, implicit feedback을 풀기 위한 implicit ALS 구현
in Data on Recommendation System
Recommendation System_Day9/10
Matrix Factorization에 대해 이해, Alternating Least Square (ALS) 이해
in Data on Recommendation System
Recommendation System_Day8
MovieLens dataset을 파악하고 간단한 neighborhood based CF 구현
in Data on Recommendation System
Recommendation System_Day7
Cosine similarity 와 Pearson correlation을 사용한 User based 및 Item based nearest neighbor Collaborative Filtering에 대한 이해
in Data on Recommendation System
Recommendation System_Day6
현대 세대의 Recommender System의 장단점에 대한 이해
in Data on Recommendation System
Recommendation System_Day5
Matrix Factorization
in Data on Recommendation System
Recommendation System_Day4
Collaborative Filtering 문제 정의
in Data on Recommendation System
Recommendation System_Day3
Recommendation과 Machine Learning의 Formulation
in Data on Recommendation System
Recommendation System_Day2
추천시스템의 시작 Netflix prize에 대한 이해
in Data on Recommendation System
Recommendation System_Day1
Recommendation System_Intro
in Data on Recommendation System
