E-commerce Sites Search Results Relevance Prediction Based on Ensemble Approach

DOI

10.2991/ammee-17.2017.80How to use a DOI?

Keywords

Search Relevance, E-commerce site.

Abstract

Though there are numerous traditional models to measure the search relevance of search engine, the evaluation results of existing models are not precise enough and difficult in operation in most of the cases. This article proposed a forecasting approach based on ensemble method to improve the precision of search relevance prediction. The critical process of the approach requires features extraction and parameters selection. The experimental results show that it works well in given data set. Furthermore, in order to select the optimal weights set, we also give a model and algorithm for the problem in the end of the article.

Copyright

© 2017, 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  - Qiqi Wang
PY  - 2017/06
DA  - 2017/06
TI  - E-commerce Sites Search Results Relevance Prediction Based on Ensemble Approach
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 428
EP  - 433
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.80
DO  - 10.2991/ammee-17.2017.80
ID  - Wang2017/06
ER  -