Personalized Newsfeed Generator

Abstract

The Personalized News Feed Generator makes use of device learning techniques to
curate news content based on consumer alternatives and conduct. The current machine of this
venture entails implementing the usage of hybrid technique that is with Content and Collaborative
filtering as it's far multiuser based totally device. The proposed system collects new articles from
Times of India thru net scraping and methods them for recommendation. This is imposing with
the TD-IDF (Term Frequency-Inverse Document set of rules for preliminary filtering primarily
based on person click on behavior and then observed by means of the BERT Embeddings which
captures contextual and semantic dating inside text. Accuracy might be approx. 70%-eighty% and
it's miles greater relevant.