Research on cold bootstrapping method of Sparse User Comment in Online Trading Platform

DOI

10.2991/iccmcee-15.2015.203How to use a DOI?

Keywords

E-commerce, User Evaluation, Product Credibility, Cold Boot.

Abstract

The trust value of the product is often through historical evaluation of calculated in online trading platform. However, some commodities have no or only a few of user evaluation, the traditional method of calculation will be very inaccurate and unfair trust value, seriously affecting the search results and users. The issue boils down to trust of the user evaluation sparse cold start problem by analyzing product providers, historical evaluation of the credibility of the user, as well as the characteristics of the product itself, the product structure features comprehensive network of trust, trust products to form an effective value estimation method . Experiments show that the method in the evaluation of a few rare cases remained good accuracy, and is not sensitive to malicious evaluation. This method can help users get real new products from trusted online trading platform.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - YuHua Li
AU  - SongLin Liu
AU  - Yang Pan
PY  - 2015/11
DA  - 2015/11
TI  - Research on cold bootstrapping method of Sparse User Comment in Online Trading Platform
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1079
EP  - 1082
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.203
DO  - 10.2991/iccmcee-15.2015.203
ID  - Li2015/11
ER  -