Review on Personalized Activity Notification and Feedback
Journal Title: Engineering and Technology Journal - Year 2025, Vol 10, Issue 04
Abstract
News Aggregator is a real-time, personalized news and placement update service specifically tailored for students. It will be extremely difficult to keep up with in this age of information with information relevant to employment opportunities and pertinent information without the precise solutions in a timely manner. It caters to an application required by a centralized system that offers educational and professional content, well-curated towards individual academic or career interests. The system uses the application of ML and NLP for behavior and preference analysis regarding individuals. Real-time updates are supported using a blend of RSS feeds and APIs, and user-based collaborative filtering makes the suggestions more accurate. Enhanced NLP approaches like topic modeling (LDA), sentiment analysis (LSTM), and summarization are employed for processing news stories and placement updates iteratively and hence enhancing the relevance over time. News Aggregator simplifies access to essential information, thus facilitating academic and professional growth of students with the personalized news feed and placement alerts on time to ready them for upcoming opportunities.
Authors and Affiliations
Srujana Sri , Dr. E. Padmalatha , Mareddy Tanvi,
Keywords
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- EP ID EP762950
- DOI 10.47191/etj/v10i04.03
- Views 12
- Downloads 0
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