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hegongshan / Recommender-Systems-Paper

Star 148

Must-read Papers for Recommender Systems (RS)

deep-learning collaborative-filtering matrix-factorization learning-to-rank recommender-systems social-recommendation rating-prediction graph-convolutional-network click-through-rate top-n-recommendations point-of-interest-recommendation graph-neural-network sequential-recommendation explainable-recommendation conversational-recommendation graph-based-recommendation
  • Updated Mar 24, 2021

gasevi / pyreclab

Star 122

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

rating svd knn implicit-feedback rating-prediction recommendation-algorithm alternating-least-squares
  • Updated Sep 4, 2020
  • C++

gionanide / OpiRec

Star 7

Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the us…

coverage natural-language-processing text-mining collaborative-filtering matrix-factorization recommender-system cosine-similarity vector-representations natural-language-generation attention-mechanism rating-prediction long-short-term-memory neighborhood-based multitask-learning deep-memory-network joint-learning text-reviews opinion-recommendation rating-score product-profiles
  • Updated Mar 6, 2023
  • Python

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