user-profiling

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

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。

E-commerce pricing optimization & dynamic user profiling

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.

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

把公开 X/Twitter 时间线变成可追溯的用户画像：自动抓取、翻译并分析兴趣、行为、情绪与社交信号，生成本地报告。

River Algorithm memory consolidation SDK for Python — pip install riverse

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

🧠 MindPeek | 让 AI 真正读懂人心 告别传统用户画像方法！ MindPeek 通过 LLM 深度解析，从每轮对话中自动提取性格、偏好、潜在需求——构建持续进化的个人画像。 ✨ 核心能力 • 多维度特征提取：性格特点 / 价值观 / 潜在想法 / 情感状态等 • 多 Agent 协作架构：自我进化，越用越懂你 懂用户的 AI，从这里开始。

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

An AI-native prompt intelligence engine engineered for power users. Moving beyond generic templates, PromptPilot securely analyzes raw multi-turn conversation logs to decode unique prompting behaviors, benchmarking clarity, context, and constraints to eliminate workflow guesswork and deliver history-backed optimization strategies.

This GitHub page presents the official code and resources for our research on LLM-Driven Temporal User Profiling (LLM-TP) for recommender systems. The project focuses on a modular framework that leverages Large Language Models (LLMs) to create rich, context-aware user profiles.

Source code for our paper at Re-coding Black Mirror workshop @ ISWC 2017

Predict user who visits the domains.

MemU is an agentic memory framework for LLM and AI agent backends: it ingests multi-modal data, extracts and organizes it into structured memory and supports both RAG and LLM-based retrieval.

User profiling based on social media data is becoming an increasingly relevant task with applications in advertising, this is one of the top PAN2020 solutions!

Official code release for "Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction" (ACL 2026 Findings)