| 摘要 |
<P>PROBLEM TO BE SOLVED: To suppress the concentration of recommendations in some contents and to recommend a content even to a user having little history information by a CF (Cooperative Filtering) method. <P>SOLUTION: A step S11 detects a user A to which a music composition is recommended and another user X having most similar history information and a step S12 detects a music composition (a) owned by the user X (purchased in the past or owned) and not owned by the user A. A step S13 identifies a cluster of each cluster layer to which the music composition (a) belongs. Then, a step S14 extracts a music composition classified to be common to all the identified clusters as a recommended candidate. Furthermore, a step S15 selects one music composition having cluster information most similar to the music composition (a) among the recommended candidates. The music composition thus selected is recommended to the user A. The present invention may be applied, for example, to a content sale site established in the Internet. <P>COPYRIGHT: (C)2007,JPO&INPIT |
