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TKDE
2012

Mining Web Graphs for Recommendations

7 years 10 months ago
Mining Web Graphs for Recommendations
—As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc. No matter what types of data sources are used for the recommendations, essentially these data sources can be modeled in the form of various types of graphs. In this paper, aiming at providing a general framework on mining Web graphs for recommendations, (1) we first propose a novel diffusion method which propagates similarities between different nodes and generates recommendations; (2) then we illustrate how to generalize different recommendation problems into our graph diffusion framework. The proposed framework can be utilized in many recommendation tasks on the World Wide Web, including query suggestions, tag recommendations, expert finding, image recommendations, im...
Hao Ma, Irwin King, Michael R. Lyu
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where TKDE
Authors Hao Ma, Irwin King, Michael R. Lyu
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