user-modeling

There are 1 repository under user-modeling topic.

YuanchenBei / Awesome-Cold-Start-Recommendation
[Up-to-date] A curated list of resources on cold-start recommendations.
cold-start recommendation cold-start-problem user-modeling recommender-system graph-learning large-language-models
233
TamSiuhin / LLM-UM-Reading
A list of large language models for user modeling (LLM-UM) papers, based on "User Modeling in the Era of Large Language Models: Current Research and Future Directions" at DEBULL
large-language-models llm personalization user-modeling suspicious-detection
145
alimamarankgroup / HPMN
Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
ctr-prediction user-response-prediction user-modeling memory-network
Language:Python 100
sb-ai-lab / Sim4Rec
Simulator for training and evaluation of Recommender Systems
evaluation-framework recommendation recommender-system rl-training synthetic-data user-modeling
Language:Jupyter Notebook 59
exciteometer
luisqtr / exciteometer
The Excite-O-Meter is a user-friendly Unity plugin for XR creators to integrate physiological user information in the development and evaluation of XR content. Specifically, it allows to record, analyze, and visualize validated metrics of heart activity from the chest strap sensor Polar H10 and movement trajectories from VR headsets.
unity signal-processing user-modeling virtual-reality movement-analytics heart-rate-variability
Language:C# 47
fajieyuan / cross-domain-recommendation
cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
cold-start cold-start-recommendation cross-domain cross-platform-recommendation multi-domain-recommendation pre-trained-model pre-training recommender-system transfer transferable-recommendation user-modeling user-profile
45
lisk123 / UCCR
User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
conversational-recommender-system sigir2022 user-modeling
Language:Python 38
QinHsiu / ICSRec
[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".
contrastive-learning recommendation-system sequential-recommendation user-modeling
Language:Python 33
fajieyuan / universal_user_representation
papers of universal user representation learning for recommendation
bert catastrophic-forgetting cold-start continual-learning cross-domain-recommendation general-purpose item-recommendation lifelong-learning multi-domain-recommendation pre-training pruning recommender-system representation-learning transfer transfer-learning transformer trimming user-modeling user-profiling user-representation
24
areinhardt / antgen
AMBAL-based NILM Trace generator
nilm synthetic-data user-modeling activity-models appliance-level-consumption appliance-models
Language:Python 22
fajieyuan / recommendation_transfer_learning_pretraining
Pre-training and Transfer learning papers for recommendation
transfer-learning pretrained-models user-representation user-profiles user-modeling user-models cross-domain-recommendation cold-start transformer bert-model nextitnet self-supervised-learning universal universal-representation lifelong lifelong-learning lifelong-machine-learning lifelong-lear transformers bert
18
qinjr / SCoRe
SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.
sequential-recommendation collaborative-filtering deep-learning user-modeling
Language:Python 17
tsinghua-fib-lab / Activity-Simulation-SAND
The official PyTorch implementation of "Learning to Simulate Daily Activities via Modeling Dynamic Human Needs" (WWW'23)
gail neural-ode activity-simulation maslow-need-theory daily-activities user-behavioral-sequences user-modeling
Language:Python 17
fajieyuan / recommendation_dataset_pretraining
DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning, cold start recommendation
recommendation-system users datasets transfer-learning pretraining cold-start cross-domain lifelong lifelong-machine-learning multi-task-learning user-profiling user-modeling sequential-recommendation session-based-recommendation-system top-n-recommendations
16
tangxianfeng / FATE
Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"
explainable-ml user-modeling user-engagement engagement-prediction deep-neural-networks
Language:Python 11
fajieyuan / pretrain_recommend_transfer
迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像
transfer-learning pretraining finetune cold-start recommender-system recommendation user-modeling self-supervised-learning sequential-recommendation lifelong-learning lifelong-machine-learning user-representation
9
xuanyuan14 / Reformulation-Aware-Metrics
Our CIKM21 Paper "Incorporating Query Reformulating Behavior into Web Search Evaluation"
information-retrieval evaluation-metrics reformulation user-behavior-analytics user-modeling query-reformulation
Language:Python 8
ilovemyminutes / UserBERT
UserBERT PyTorch implementation
contrastive-learning e-commerce recommender-system self-supervised-learning user-modeling
Language:Python 6
sisaman / CRMP
Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)
social-network-analysis multilayer-networks heterogeneous-network user-modeling link-prediction
Language:Python 6
fajieyuan / lifelong_learning_user_representation
learning universal user representation with lifelong learning mechanism for recommender systems
universal-representation recommendation user-representation user user-modeling user-profiles transfer-learning lifelong-machine-learning continual-learning pre-training finetune recommender-system lifelong lifelong-learning
5
erasmopurif / toward-responsible-fairness-analysis
Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"
fairness graph-neural-networks user-profiling bias human-centered-ai user-modeling responsible-ai
Language:Python 3
milsab / 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.
bert-embeddings explainable-ai large-language-models llms recommender-system temporal-data temporal-modeling transformers transparency user-modeling explainable-recommendations temporal-user-profiling
Language:Python 2
rbroc / contrastive-user-encoders
Code for: Rocca, R., & Yarkoni, T. (2022), Language models as user encoders: Self-supervised learning of user encodings using transformers, to appear in Findings of the Association for Computational Linguistics: EMNLP 2022
nlp transformers user-modeling contrastive-learning python tensorflow
Language:Jupyter Notebook 2
AlbMLpy / DynamicCF
Dynamic Collaborative Filtering powered by Matrix and Tensor Integrators
collaborative-filtering recommendation-engine user-modeling
Language:Python 1
emaadmanzoor / rush
Temporal point process models for time-limited coupon prediction (KDD 2017).
point-processes user-modeling prediction temporal-models
Language:Jupyter Notebook 1
happystep / HPC_Analytics
Python and Neo4J used to create a property graph database for ML algorithms - MS Thesis
hpc reinforcement-learning artificial-intelligence machine-learning predictive-analytics user-modeling decision-support
Language:Python 1
klemenjak / antgen
The AMBAL-based NILM Trace generator (for NILMTK)
nilm nilm-algorithms nilmtk energy-disaggregation synthetic-data user-modeling user-models appliance-models
Language:Python 1
linxiagong / OptMatch
【KDD'20】OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena
matchmaking user-modeling
1
lucapantea / research-project
Bachelor Thesis on Dynamic User Preferences in Recommendation Systems using Deep Reinforcement Learning
reinforcement-learning-environments tudelft-cse-research-project user-modeling
Language:Python 1
al4744 / rec-system
🎵 A Python-based content recommendation system utilizing ML algorithms and matrix factorization techniques to analyze 600k-song dataset. Combines SVD, NMF, Factorization Machines, and Direct Similarity for personalized music suggestions. Handles cold start, optimizes with weighted similarity, and includes tools for visualization & evaluation.
audio-analysis computational-efficiency content-based-filtering data-analysis data-preprocessing-and-cleaning data-visualization dimensionality-reduction genre-analysis machine-learning matrix-factorization music-metadata numpy pandas recommendation-systems scikit-learn similarity-measures user-modeling user-preferences vector-space-models latent-space-visualization
Language:Jupyter Notebook 0
arian-askari / anonymous-comment-SIGIR2019
On Anonymous Commenting: A Greedy Approach to Balance Utilization and Anonymity for Instagram Users - Accepted at SIGIR 2019
insta instagram stylometry author author-detection character-level privacy user-modeling authorization hand-written-recognition digital-hand-written-recognition
Language:Python 0
fuxiAIlab / fuxi-match
【Group Page】Optimal Game Matchmaking（OGM）R&D in Fuxi AI Lab
game-matchmaking matchmaking user-modeling
0
FedericoVaona99 / User_Profile_Augmented_Query_Suggestions
Master Thesis UniVr — ORCID-augmented query recommendation (K-LaMP extension). Gemini API + entity store;
entity-extraction gemini-api information-retrieval knowledge-augmented-llm orcid orcid-api pandas personalization python query-recommendation query-suggestions user-modeling k-lamp
Language:Jupyter Notebook
ilovemyminutes / LURM
Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
alibaba python pytorch user-modeling
ACMSIGCHI_UMCIT2019
kennedyCzar / ACMSIGCHI_UMCIT2019
User Modeling and Personalization in Urban Computing
acm acm-sigchi user-modeling urban-computing
Language:Jupyter Notebook
wilcoln / ml-for-um
My work on Machine Learning for User Modeling
machine-learning user-modeling research state-of-the-art
Language:TeX

user-modeling

YuanchenBei / Awesome-Cold-Start-Recommendation

TamSiuhin / LLM-UM-Reading

alimamarankgroup / HPMN

sb-ai-lab / Sim4Rec

luisqtr / exciteometer

fajieyuan / cross-domain-recommendation

lisk123 / UCCR

QinHsiu / ICSRec

fajieyuan / universal_user_representation

areinhardt / antgen

fajieyuan / recommendation_transfer_learning_pretraining

qinjr / SCoRe

tsinghua-fib-lab / Activity-Simulation-SAND

fajieyuan / recommendation_dataset_pretraining

tangxianfeng / FATE

fajieyuan / pretrain_recommend_transfer

xuanyuan14 / Reformulation-Aware-Metrics

ilovemyminutes / UserBERT

sisaman / CRMP

fajieyuan / lifelong_learning_user_representation

erasmopurif / toward-responsible-fairness-analysis

milsab / TETUP

rbroc / contrastive-user-encoders

AlbMLpy / DynamicCF

emaadmanzoor / rush

happystep / HPC_Analytics

klemenjak / antgen

linxiagong / OptMatch

lucapantea / research-project

al4744 / rec-system

arian-askari / anonymous-comment-SIGIR2019

fuxiAIlab / fuxi-match

FedericoVaona99 / User_Profile_Augmented_Query_Suggestions

ilovemyminutes / LURM

kennedyCzar / ACMSIGCHI_UMCIT2019

wilcoln / ml-for-um