FeedRec: News Feed Recommendation with Various User Feedbacks

Understand

Accurate user interest modeling is important for news recommendation.

• Most existing methods for news recommendation rely on implicit feedbacks like click for inferring user interests and model training.
• However, click behaviors usually contain heavy noise, and cannot help infer complicated user interest such as dislike.
• Besides, the feed recommendation models trained solely on click behaviors cannot optimize other objectives such as user engagement.