Personalized Tweet Recommendation Using Users' Image Preferences
Publication Date
1-1-2023
Document Type
Conference Proceeding
Publication Title
Proceedings - IEEE 9th International Conference on Big Data Computing Service and Applications, BigDataService 2023
DOI
10.1109/BigDataService58306.2023.00036
First Page
163
Last Page
164
Abstract
In the era of information explosion, the vast amount of data on social media platforms can overwhelm users. As a result, personalized recommendation systems have become increasingly important to help users navigate and make sense of this data. We propose a novel technique to use users' image preferences to recommend tweets. We extract vital information by analyzing images liked by users and use it to recommend tweets from Twitter.
Keywords
Annotation, content-based tweet recommendation, image captioning, personalization
Department
Computer Science
Recommended Citation
Shashwat Avinash Kadam and William B. Andreopoulos. "Personalized Tweet Recommendation Using Users' Image Preferences" Proceedings - IEEE 9th International Conference on Big Data Computing Service and Applications, BigDataService 2023 (2023): 163-164. https://doi.org/10.1109/BigDataService58306.2023.00036
