M
Mohammed Korayem
Researcher at Indiana University
Publications - 52
Citations - 1301
Mohammed Korayem is an academic researcher from Indiana University. The author has contributed to research in topics: Recommender system & Collaborative filtering. The author has an hindex of 17, co-authored 49 publications receiving 1121 citations. Previous affiliations of Mohammed Korayem include Fayoum University.
Papers
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Proceedings Article
Subjectivity and Sentiment Analysis of Modern Standard Arabic
TL;DR: This study presents a newly developed manually annotated corpus of Modern Standard Arabic together with a new polarity lexicon and shows that by explicitly accounting for the rich morphology the system is able to achieve significantly higher levels of performance.
Proceedings ArticleDOI
PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.
TL;DR: This work introduces PlaceAvoider, a technique for owners of first-person cameras to ‘blacklist’ sensitive spaces (like bathrooms and bedrooms), and tests the technique on five realistic firstperson image datasets and shows it is robust to blurriness, motion, and occlusion.
Book ChapterDOI
Subjectivity and Sentiment Analysis of Arabic: A Survey
TL;DR: This paper surveys different techniques for SSA for Arabic and describes the main existing techniques and test corpora for Arabic SSA that have been introduced in the literature.
Journal ArticleDOI
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach
TL;DR: A way to adapt the state-of-the-art in SRL approaches to construct a real hybrid job recommendation system and can also allow tuning the trade-off between the precision and recall of the system in a principled way.
Proceedings ArticleDOI
Enhancing Lifelogging Privacy by Detecting Screens
TL;DR: Using computer vision to automatically detect computer screens in photo lifelogs is investigated, and it is shown that the technique could help manage privacy in the upcoming era of wearable cameras.