milsab

milsab.github.io

UMRec

LLM-driven framework for modeling short- and long-term user preferences via temporal profiling.

LLM-TP

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.

TETUP

TETUP: Code for "Towards Explainable Temporal User Profiling with LLMs" (ExUM 2025). This project proposes a content-based recommendation framework that generates short-term and long-term user profiles using LLMs, enabling interpretable and personalized recommendations with temporal awareness.

HybridRecSys

Combination of BERT & Graph

EasyRec

"EasyRec: Simple yet Effective Language Model for Recommendation"

RLMRec

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

Robo

Simple React Project

SurveyApp

Survey Application (Full Stack Project with Node & React)

Reinforcement-Learning-Survey

Here, I share what I learn in reinforcement learning and its utilization in recommender systems.

mstahdig

ITMD-567

Web Systems Integration

ML-JS2

SearchAlgorithms

NGCF-PyTorch

PyTorch Implementation for Neural Graph Collaborative Filtering

CSC577-Project

RecSys-577

Cartoonify

Cartoonify Images

CodeChallenge2

CodeChallenges

Code Challenges

ML-JS

Machine Learning - Using TensorFlow in JavaScript

Vigen-re-cipher

react-docker

react-docker

ITMD-515

Java EE

resume

onlineResume

ITMD-527

Data Analytics

DATA-SCIENCE_SMART-TECH

ITMD-521

Hadoop

jhajek

Archtitecture Reference Repo