Universiti Teknologi Malaysia Institutional Repository

Predicting the relevance of search results for e-commerce systems

Al-Taie, Mohammed Zuhair and Shamsuddin, Siti Mariyam and Lucas, Joel Pinho (2015) Predicting the relevance of search results for e-commerce systems. International Journal of Advances in Soft Computing and its Applications, 7 (3). pp. 85-93. ISSN 2074-8523

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Abstract

Search engines (e.g. Google.com, Yahoo.com, and Bing.com) have become the dominant model of online search. Large and small e-commerce provide built-in search capability to their visitors to examine the products they have. While most large business are able to hire the necessary skills to build advanced search engines, small online business still lack the ability to evaluate the results of their search engines, which means losing the opportunity to compete with larger business. The purpose of this paper is to build an open-source model that can measure the relevance of search results for online businesses as well as the accuracy of their underlined algorithms. We used data from a Kaggle.com competition in order to show our model running on real data.

Item Type:Article
Uncontrolled Keywords:search engines, e-commerce
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:54984
Deposited By: Muhamad Idham Sulong
Deposited On:24 Aug 2016 14:53
Last Modified:31 Jul 2017 16:09

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