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View all- Sang LLi HZhang YZhang YYang Y(2024)AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate PredictionACM Transactions on Information Systems10.1145/3681785Online publication date: 25-Jul-2024
Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations using explicit ratings on items from users. In some e-commerce environments, ...
User feedback in the form of movie-watching history, item ratings, or product consumption is very helpful in training recommender systems. However, relatively few interactions between items and users can be observed. Instances of missing user--item ...
Collaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficient and the Cosine Similarity work quite well ...
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