Shatha Jaradat

According to our database1, Shatha Jaradat authored at least 13 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Fashion Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

2021
Workshop on Recommender Systems in Fashion and Retail.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Mining of User Profiles in Online Social Networks for Improved Personalized Recommendations.
PhD thesis, 2020

Deep text classification of Instagram data using word embeddings and weak supervision.
Web Intell., 2020

Second Workshop on Recommender Systems in Fashion - fashionXrecsys2020.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Workshop on recommender systems in fashion (fashionXrecsys2019).
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

TALS: A Framework for Text Analysis, Fine-Grained Annotation, Localisation and Semantic Segmentation.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Deep Text Mining of Instagram Data without Strong Supervision.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Dynamic CNN Models for Fashion Recommendation in Instagram.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

2017
Deep Cross-Domain Fashion Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016
The social media election agenda: Issue salience on Twitter during the European and Swedish 2014 elections.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Trust and privacy correlations in social networks: A deep learning framework.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
OLLDA: A Supervised and Dynamic Topic Mining Framework in Twitter.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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