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2009 IEEE International Conference on Data Mining Workshops
Knowledge Transfer among Heterogeneous Information Networks
Miami, Florida, USA
December 06-December 06
ISBN: 978-0-7695-3902-7
| ASCII Text | x | ||
| Evan Wei Xiang, Nathan N. Liu, Sinno Jialin Pan, Qiang Yang, "Knowledge Transfer among Heterogeneous Information Networks," 2012 IEEE 12th International Conference on Data Mining Workshops, pp. 429-434, 2009 IEEE International Conference on Data Mining Workshops, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDMW.2009.100, author = {Evan Wei Xiang and Nathan N. Liu and Sinno Jialin Pan and Qiang Yang}, title = {Knowledge Transfer among Heterogeneous Information Networks}, journal ={2012 IEEE 12th International Conference on Data Mining Workshops}, volume = {0}, year = {2009}, isbn = {978-0-7695-3902-7}, pages = {429-434}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.100}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 12th International Conference on Data Mining Workshops TI - Knowledge Transfer among Heterogeneous Information Networks SN - 978-0-7695-3902-7 SP429 EP434 A1 - Evan Wei Xiang, A1 - Nathan N. Liu, A1 - Sinno Jialin Pan, A1 - Qiang Yang, PY - 2009 VL - 0 JA - 2012 IEEE 12th International Conference on Data Mining Workshops ER - | |||
Online recommendation systems are becoming more and more popular with the development of web. However, a critical problem of such system is that new users and items are always added to the system with time. How to overcome the data sparseness for such new incoming entities become an important issue. In this paper, we try to reduce the data sparseness in the link prediction problem via involving heterogeneous information network as auxiliary information sources. We developed two models based on the Collective Matrix Factorization (CMF) framework. We also provided a detailed empirical study on how effectively different information networks could help with two real world link prediction tasks. We will report some preliminary results of our current work and also point our several potential research issues.
Citation:
Evan Wei Xiang, Nathan N. Liu, Sinno Jialin Pan, Qiang Yang, "Knowledge Transfer among Heterogeneous Information Networks," icdmw, pp.429-434, 2009 IEEE International Conference on Data Mining Workshops, 2009
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