User Characterization and Content Personalization Using Distributed Locality 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 a new frontier of computer networking research and development. The proposed project uses the research at the University of Victoria on content-based musical information retrieval and the development of 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:

Dr Jianping Pan

Student:

Aidin Faghfouri

Partner:

Disternet Technology

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Victoria