| Social Information Filtering for Music Recommendation (1994) | |||||||||||||||||
Abstract | |||||||||||||||||
| Filters which select items for individual users based upon content suffer from several limitations. The items being filtered must be amenable to parsing by a computer. Furthermore, Content-Based Filters possess no inherent method for serendipitous exploration of the information space. This thesis proposes Social Information Filtering (SF), a general, novel approach to information filtering. SF systems filter items based upon other users whose tastes are similar to your own. SF overcomes the limitations of Content-Based Filters. An implementation employing Social Information Filtering techniques is presented. Ringo is a music recommendation system accessible to users via electronic mail. Users rate musical artists and then are able to receive recommendations for further listening. | |||||||||||||||||
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