Abstract: A data sampling method and data sampling device are disclosed. One embodiment of the present invention comprises the steps of generating a model of interest to which a user's interest is reflected on the basis of raw data; and determining a sampling model according to a result of comparing the model of interest with models sampled on the basis of the raw data. According to the present invention, a sampling model to which the user's interest is reflected can be quickly and easily acquired.

Abstract: Disclosed is an apparatus for recommending content using user context awareness. A content recommendation method performed by the content recommendation apparatus includes monitoring content use information of a user, calculating a profit of the user for content recommendation and an annoyance of the user with the content recommendation based on a result of the monitoring, and comparing the calculated profit and annoyance to determine a time to recommend content to the user. Accordingly, the content recommendation can be provided without interfering with use of content by the user by recommending content using awareness of the user's context.