News Recommendation system using Bert4Rec model
Dataset used:
Microsoft News Dataset is a huge dataset for news
recommendation research.It was collected from anonymous
behavior logs of Microsoft News website.The purpose of
MIND is to serve as a benchmark dataset for news
recommendation and facilitate the research in news
recommendation and recommender systems area.
MIND contains about 160k English news articles and more
than 15 million impression logs generated by 1 million
users.We randomly sampled 1 million users who had at least
5 news click records during 6 weeks from October 12 to
November 22, 2019. Every news article contains textual
content including title, abstract, body, category and entities.
Each impression log contains the click events, non-clicked
events and historical news click behaviors of this user before
this impression.
There are 2,186,683 samples in the training set, 365,200
samples in the validation set, and 2,341,619 samples in the
test set, which can empower