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User Characterization and Content Personalization Using DistributedLocality Sensitive Hashing over a Peer-to-Peer Network
Multimedia data are of huge demand from “connected” consumers and how to deliver them ‘ ‘
effectively and efficiently becomes the new frontier of computer networking research’and
development. The proposed project utilizes the research at the University of Victoria on
content-based musical information retrieval and the development at Disternet Inc’ on a new,
generation of home gateway devices to enable efficient and effective user characterization
and content personalization using distributed locality sensitive hashing over a peer-to-peer
network. The research and development is expected to drastically reduce the cost for service
providers and network operators to deliver high-quality multimedia contents to end users, and
at the same time allows graduate students to use their research to solve real-world problems,
Faculty Supervisor:
Jianping Pan
Student:
Partner:
Discipline:
Engineering
Sector:
University:
University of Victoria
Program:
Accelerate
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