AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
- recommender-system
- collaborative-filtering
- go
- knn
Repository Index
71,372 visible repositories in the index
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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
- ctr
- click-through-rate
- deep-learning
- factorization-machines
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
- paddlepaddle
- deep-learning
- neural-network
- computer-vision
A Python scikit for building and analyzing recommender systems
- recommender
- systems
- recommendation
- svd
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
- arxiv
- automation
- github-action
Intelligent faculty outreach and research matching for prospective graduate applicants
- developer-portfolio
- github-profile
- profile-readme
- software-engineering
A Python implementation of LightFM, a hybrid recommendation algorithm.
- machine-learning
- recommender
- python
- matrix-factorization
Ecommerce Search and Discovery - marqo.ai
- multi-modal
- search-engine
- machine-learning
- ecommerce
Translated:helicopter::rocket: A real-time product recommendation system built on Flink. Flink calculates product popularity and puts it into the Redis cache; it analyzes log information and puts user profile tags and real-time records into HBase. After a user initiates a recommendation request, the popularity ranking is re-ranked according to the user profile, and the two recommendation modules, collaborative filtering and tags, are combined to add associated products to each product in the newly generated ranking. Finally, a new user list is returned.
- flink
- recommander-system
- recommand
- flink-kafka
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
- ple
- deepfm
- mmoe
- word2vec
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
Deep recommender models using PyTorch.
- recommender-system
- deep-learning
- learning-to-rank
- python
历史学习项目：Spark 电影推荐、爬虫、Web 与后台。新版持续开发见 cinematch-recommender。
- spark-mllib
- spark-streaming
- ssm-maven
- scrapy
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
A Deep Learning Recommender System
Pytorch domain library for recommendation systems
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
- ranking
- scala
- search
- personalization
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
- dssm
- youtubednn
- mind
- collaborative-filtering
A framework for large scale recommendation algorithms.
- recommendation-algorithms
- recommender-system
- dssm
- esmm
fastFM: A Library for Factorization Machines
- machine-learning
- recommender-system
- factorization-machines
- matrix-factorization
A C library for product recommendations/suggestions using collaborative filtering (CF)
- collaborative-filtering
- c
- machine-learning
- recommendation-engine
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.