NAIS: Neural Attentive Item Similarity Model for Recommendation
NAIS: Neural Attentive Item Similarity Model for Recommendation
Item-to-item collaborative filtering (aka.item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency in real-time personalization. It builds a user's profile as her historically interacted items, recommending new items that are similar to the user's profile. As such, the key to …