item2vec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

A practical movie recommend project based on Item2vec.

推荐算法实战(Recommend algorithm)

Implement item2vec algorithm

Recommendation based on sequence

Notice that there are no torch-related code about item2vec, I just want to provide a readable item2vec implementation for researchers

a sample recommendation recall algorithm framework

[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec

Implementation of recommender ( Pytorch & Keras )

Microsoft. Item2Vec을 사용한 CF 구현

full visualization of netflix and movielense datasets with 89% accuraccy item2vec

An implementation of node2vec algorithm

Gitbook for Google Cloud & NCAA® ML Competition 2020-NCAAM

Two-stage session-based recommender (LightGBM LambdaRank) for an Inditex hackathon. Cold-start focused, 93% of sessions have no user history. NDCG@5 = 0.377, Hit Rate@5 = 76%.

Recommender system research and experiments on the Kuairec dataset

Recommend perfumes using Doc2vec model

Embed music albums into a latent space leveraging their reviews by Pitchfork.

🍽️ Manage restaurant orders effortlessly with TasteUp-SignalR, a real-time ASP.NET Core solution for customers and managers.

🎬 Discover your next film with this content-based movie recommendation system that analyzes metadata and delivers tailored suggestions.