Repository Index

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

• recommender-system
• collaborative-filtering
• go
• knn

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

• arxiv
• automation
• e-mail
• github-action

本地私有、开源的自进化跨平台 AI 内容发现 Agent：先理解你，再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。（支持 deepseek harness 插件） | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.（support deepseek harness plugin）

• ai-agent
• bilibili
• content-discovery
• llm

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

该仓库尝试整理推荐系统领域的一些经典算法模型

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

• tensorflow-recommenders
• tensorflow
• recommender
• recommender-system

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

• actions-speak-louder-than-words
• recommendations
• recsys
• generative-recommenders

Minimal reproduction of OneRec

• generative-ai
• generative-recommendation
• generative-recommenders
• large-language-model

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

• arxiv
• deep-learning
• machine-learning
• flask

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.

TranslatedVRS Application Recommendation System (志愿 "zhiyuan", college application choices): FastAPI + Neo4j + DeepSeek, with Zhejiang gaokao (college entrance exam) historical data as an example, including Excel data templates.