[딥러닝을이용한 자연어 처리 입문] 1011 문서 벡터를 이용한 추천 시스템(Recommendation System using Document Embedding)

 문서 내 각 단어들을 Word2Vec을 통해 단어 벡터로 변환하고, 이들의 평균으로 문서 벡터를 구하여 선호하는 도서와 유사한 도서를 찾아주는 도서 추천 시스템 만들기


- 데이터 다운로드 링크 : https://drive.google.com/file/d/15Q7DZ7xrJsI2Hji-WbkU9j1mwnODBd5A/view?usp=sharing


  • 책의 이미지와(표지) 줄거리를 크롤링한 데이터



nlp_1011_recommendation_system_using_document_embedding_문서벡터를_이용한_추천.ipynb

0.01MB


- 출처 : [딥러닝을이용한 자연어 처리 입문] 1011 문서 벡터를 이용한 추천 시스템(Recommendation System using Document Embedding)

댓글

댓글 쓰기

이 블로그의 인기 게시물

[Programming with Mosh] Python Tutorial for Beginners | Full Python Programming Course [2019]

이미지
Watch this Python tutorial for beginners to learn Python programming from scratch. Includes exercises and projects. 👍Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF 📕Get My FREE Python Cheat Sheet: http://bit.ly/2Gp80s6 🔥Get My Complete Python Programming Course with a 90% Discount (LIMITED to the first 200 students): https://goo.gl/P64rZ8 #Python , #MachineLearning , #WebDevelopment 🔗Supplementary Materials (Spreadsheet): https://goo.gl/x77mLc 📔Python Exercises for Beginners https://goo.gl/1XnQB1 ⭐My Favorite Python Books - Python Crash Course: https://amzn.to/2GqMdjG - Automate the Boring Stuff with Python: https://amzn.to/2N71d6S - A Smarter Way to Learn Python: https://amzn.to/2UZa6lE - Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL - Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy TABLE OF CONTENT 00:00:00 Introduction 00:01:49 Installing Python 3 00:06:10 Your First Pyt...
계속 읽기