6th Place Solution for SMP CUP 2017 (Third Prize)
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Updated
Apr 21, 2019 - Python
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)
is a powerful tool designed to find a username across multiple social media platforms
Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for 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.
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"
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
Predict user who visits the domains.
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!
user profiling and segmentation using clustering algorithms
An OSINT (Open-Source Intelligence) service that generates detailed factual and psychological profiles of Twitter users using an agentic AI model.
A stacking model designed for task3 of OPEDAC
A database created using SQLite3 and accessed via FastAPI to create and maintain UserProfiles
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.
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