Book Recommender System using collaborative filtering and content-based filtering method.
- Link dataset: https://drive.google.com/drive/folders/1j1E8vp4tTuwEciqd5ANy0AsUOpBt66bz?usp=share_link ( To get the dataset, please send me a request.)
- Dataset is crawled from Tiki, use Tiki API and Selenium books set: ~16.000 book, ratings set: ~144.000 rating (>2700 user)
- CF_user_based
- CF_item_based
- TF_IDF
- Word_embedding
- Title weighted Description (1)
- Sentence Bert (2)
- Tkinter
(1) Ahmed Elsafty, Martin Riedl, Chris Biemann, "Document-based Recommender System for Job Postings using Dense Representations", NAACL 2018, pages 216-224. \
(2) Nils Reimers and Iryna Gurevych, "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks", 2019.