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Recent recommender systems work well in terms of prediction accuracy, making use of a variety of features, such as users' personal information, purchasing history, browsing history and comments. However, traditional recommendation models have not made full use of item information and met difficulties with cold-start problems. On the other hands, visual information on item images is one of the most...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.