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Architecting personalized delivery of multimedia information

Published:01 December 1992Publication History
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References

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  1. Architecting personalized delivery of multimedia information

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                  Richard W. Sauvain

                  A novel time-dependent information filtering method, which is well suited to areas like news and entertainment, is presented. The method is applied in a prototype known as LyricTime, for the personalized delivery of pop music to casual listeners over a LAN. Using a jukebox-like interface on a workstation, a user selects a mood (such as cheerful, romantic, calm, or sad) and sees a list of selections. The listener then steps through the list, viewing title and artist information (and a still image), and can play selections. Feedback is provided either explicitly (by choosing one of five evaluation choices) or implicitly (by skipping or replaying songs). This feedback is used to construct a listener profile for each mood. The profile changes with time and is used to filter the set of visible selections to anticipate the preferences of the user. LyricTime utilizes a multimedia database containing digital audio, images, and song descriptions. The paper will be of greate st interest to information system architects. It contains a lengthy taxonomy proposing 11 dimensions that describe the set of information filtering applications and usage scenarios. Considerable detail is given about the design of a time- and context-dependent filter. As the author points out, scheduling and delivery optimization in future networks could be greatly enhanced if we can anticipate the information needs of users.

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                    cover image Communications of the ACM
                    Communications of the ACM  Volume 35, Issue 12
                    Special issue on information filtering
                    Dec. 1992
                    85 pages
                    ISSN:0001-0782
                    EISSN:1557-7317
                    DOI:10.1145/138859
                    Issue’s Table of Contents

                    Copyright © 1992 ACM

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                    • Published: 1 December 1992

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