Recommender System Employing Subjective Properties

摘要

Example systems and methods of recommending an item are presented. In one example, preference values for items by multiple users, as well as property values for multiple properties of the items by the users, are accessed. Reference property values for the properties of the items are generated based on the property values. Average deviations from the reference property values for the properties across a first group of the items by a target user are generated. Expected property values for the properties of a second group of the items for the target user are generated based on the reference property values and the average deviations. Preference values of the target user for the second group of the items are estimated based on the expected property values. At least one of the second group of the items is recommended to the target user based on the estimated preference values.