recorded the method for generating a recommendation based on the user preferences and environment characteristics , system, and computer program A computer-readable storage medium

摘要

Recommendation systems are described that generate recommendations for one or more items based on the user preference and the one or more environmental factors. User preferences are learned under a variety of environmental conditions by using the environment data collection system. Observed environmental conditions, for example, location, features of the location, and may include the features of the mobile, such as weather or speed of movement, the user. For example, each of positive and negative behavior, many properties of the selected items are classified in the user profile with a general environmental conditions. When the recommended items, search for recommended groups described user preferences and environmental assessment of the current conditions. Recommendation score under environmental conditions, such as similar to the same or a similar geographical area or similar environmental conditions based on the user's preferences can be generated proven for each available item. ; Referral system, preferences, profiles and items, and environmental features