papers of universal user representation learning for recommendation

A smart fashion web app built with Python (Flask) that recommends personalized outfits based on user profiling and AI analysis. It includes features like real-time virtual try-on with OOTDiffusion, skin tone & demographic detection using DeepFace, and outfit recommendations powered by TensorFlow, Gemini API, and PyTorch.

DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation

6th Place Solution for SMP CUP 2017 (Third Prize)

JPIS: A Joint Model for Profile-Based Intent Detection and Slot Filling with Slot-to-Intent Attention (ICASSP 2024)

Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling

is a powerful tool designed to find a username across multiple social media platforms

基于地址探测与关联技术的IPv6地址分析平台

Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.

User Profiling and Sentiment analysis of Twitter social network during the impeachment of Brazilian President

E-commerce pricing optimization & dynamic user profiling

Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"

Chrome extension + multi-agent LLM pipeline that bypasses Zhihu's anti-scraping defenses to profile any public user across PII leakage, content authenticity, and HEXACO personality. 绕过知乎反爬，浏览器扩展 + LLM 多智能体生成用户深度画像。

AI-powered Xiaohongshu (小红书) user deep profiling & pursuit strategy engine. Multi-modal analysis with any LLM (GPT-4o/Claude/Gemini/local). 9-dimension psychological profiling based on 5 academic theories. Interactive HTML reports with ideal-type matching. 给我一个小红书链接，还你一份FBI级人物画像+量身定制追求路线图。

Large Literature DB, ETL & AI: Multi-source Web Crawling/Scrapping, auto-load warehouse, Graph-based Recommenders, Big data tools, OLAP, GraphRAG AI, LLMops, market insights. Connects reader markets/communities. Millions of reviews. books,series,authors,reviews,genres,prices,trends,niche scores, influence networks

Cluster Analysis of Personal IMDB Ratings to find insights and segment user preference.

River Algorithm memory consolidation SDK for Python — pip install riverse

QuickSim — AI-powered life scenario prediction: Enter a multiple-choice question, and AI will deduce the chain of consequences for each path.

An OSINT (Open-Source Intelligence) service that generates detailed factual and psychological profiles of Twitter users using an agentic AI model.

Social media analytics course materials: text mining, topic modelling, data collection (Twitter/X API & Twint), stance detection, user profiling (gender & occupation), and network analysis with PageRank.