papers of universal user representation learning for recommendation
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Updated
Mar 1, 2024
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"
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.
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
Source code for our paper at Re-coding Black Mirror workshop @ ISWC 2017
An OSINT (Open-Source Intelligence) service that generates detailed factual and psychological profiles of Twitter users using an agentic AI model.
PersonaFlux AI is a persona-driven AI platform that leverages LLMs and NLP to generate structured user personas, enabling personalized experiences, intelligent agents, and context-aware decision systems.
Predict user who visits the domains.
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