A list of awesome papers and resources of recommender system on large language model (LLM).
- large-language-models
- recommender-system
- survey
- llm4rec
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A list of awesome papers and resources of recommender system on large language model (LLM).
This is a list of substantial, commercial-or-social-good mainstream websites which provide onion services.
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
A curated list of the best charting and dataviz resources that developers may find useful, including the best JavaScript charting libraries
A code for extracting best-selling items, search results, and currently available deals from Amazon using Python and Oxylabs E-Commerce Scraper API.
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
The repository host gives no description.
Personalized, user-focused recommendations for employee information security.
A curated list of Python packages related to chemistry
🕸 Yet Another .NET Clean Architecture, but for Microservices project. It uses Minimal Clean Architecture with DDD-lite, CQRS-lite, and just enough Cloud-native patterns apply on the simple eCommerce sample and run on Tye with Dapr extension 🍻
Translated:books: Collection of Git tips (https://github.com/git-tips/tips Korean version)
A list of recommended research papers and other readings on data visualization
Translated🐟 The complete book of Chinese second-hand trading slang and a guide to avoiding pitfalls and staying compliant (4,476+ real-world code word variants on Xianyu / Zhuanzhuan / Xiaohongshu, insight into sellers' subtext, and a guide for buyers on inspecting goods and avoiding being ripped off)
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
A curated list of awesome programmers and software projects you can support!
A list of recommended Python libraries, and resources, intended for scientific Python users.
An opinionated, curated list of tools for enforcing software development standards: one recommended tool per job, with limits.
Sass coding guidelines for BigCommerce themes
:hammer_and_pick: Useful tips by OTA CTF members :hammer_and_pick:
Source code for game tutorial written by capucat
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
Example repo on how to use yarn workspaces together with the serverless framework.
Learn Lisp efficiently and become a happy programmer.
Simple educational blockchain in Common LIsp