Recommendations Based On User Preference And Activities

摘要

Some embodiments can provide a recommender system configured to recommend a new item to a user by estimating a user interest for the item. The recommendation system may be configured to collect data regarding user activities with respect to various existing items. Based on the user activity data, the user interest for the new item may be estimated and a determination may be made whether the new item is to be recommended to the user based on the estimated interest. In one embodiment, the new item's attribute vector is compared with a user vector to estimate the user's interest to the new item. In another embodiment, a score indicating the user's interest may be iteratively estimated through matrix factorization based on the user activity data.