Application of the massive data precision classification in e-commerce based on big data
- 10.2991/amcce-15.2015.217How to use a DOI?
- big data; data classification; recommendation system; relational decision-making tree;
Accurate classification of massive data in the field of electronic commerce, can service consumers to the greatest degree. The variety and quantity of goods fast growth make a large number of useful products information would be submerged in massive data. The traditional electronic commerce data classification system applied in the user data validation, is affected by massive information, to make data validation process time-consuming and low efficiency. The massive data precision classification system of electronic commerce based on big data is proposed. Large amounts of data is made big data relational decision-making calculation, to get the relevance between all data. Based on the above data relevance, the relational decision-making tree is established, to obtain user’s interest data recommended goal. The experimental results show that, by using the improved algorithm for the user massive interest data classification in electronic commerce, can effectively reduce the time to confirm the user interest commodity information data, ensure data quality to meet the requirement of electronic commerce.
- © 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/).
Cite this article
TY - CONF AU - Ting Li PY - 2015/04 DA - 2015/04 TI - Application of the massive data precision classification in e-commerce based on big data BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.217 DO - 10.2991/amcce-15.2015.217 ID - Li2015/04 ER -