MeteSertkan

PhD Student; working on Recommender Systems, User-Modeling, and Personalization

TU WienVienna, Austria

Pinned Repositories

predict-census-income
A feature engineering pipeline for income prediction using the Ballet framework
Language:Python1 4 127
question-annotator
An efficient approach for the annotation of questions
Language:Python00
EmoRec
Exploring Expressed Emotions for Neural News Recommendation
Language:Python1 1 00
meta-analysis-based-recsys-eval
Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation of RecSys Experiments
Language:Jupyter Notebook1 1 00
newsrec
A collection of neural news recommendation methods built with PyTorch.
Language:Python8 2 13
PicTouRe
PicTouRe - A Picture-Based Tourism Recommender
Language:Vue1 1 01
ranger
Ranger helps you see the forest among the trees - Ranger is an effect-size meta analysis library creating beautiful forest plots!
Language:Python11 1 01

MeteSertkan/ranger
Ranger helps you see the forest among the trees - Ranger is an effect-size meta analysis library creating beautiful forest plots!
Language:Python11 1 01
MeteSertkan/newsrec
A collection of neural news recommendation methods built with PyTorch.
Language:Python8 2 13
MeteSertkan/EmoRec
Exploring Expressed Emotions for Neural News Recommendation
Language:Python1 1 00
MeteSertkan/meta-analysis-based-recsys-eval
Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation of RecSys Experiments
Language:Jupyter Notebook1 1 00
MeteSertkan/PicTouRe
PicTouRe - A Picture-Based Tourism Recommender
Language:Vue1 1 01