A store location-based recommender system using user’s position and web searches

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-02-04 DOI:10.1080/17489725.2021.1880029

Goshtasb Shahriari-Mehr, M. Delavar, C. Claramunt, Babak Nadjar Araabi, M. Dehaqani

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引用次数: 1

Abstract

ABSTRACT Nowadays, gathering information about commercial products can be performed either online or offline. While online searches can be virtually undertaken through online shopping websites, offline searches should be done physically at stores. However, there is a specific emerging trend where users can check some product opportunities online before getting to the stores and then possibly buying some items whose properties have already been evaluated over the Web. Product properties can be studied online while on site evaluation provides a direct contact with these goods at the stores. The objective of the approach developed in this paper is to discover user preferences when searching and exploring online shopping websites and then recommend the stores that better match their interests. First, users’ internet behaviours are extracted from an online shopping website. Secondly, a Voronoi high-dimensional structure supports the derivation of similarities between the users and stores. Third, a distance matrix between the user and the selected stores is generated. Finally, a ranked list of the most appropriate stores is provided to the users based on their product interest and their locations. The whole approach has been successfully tested by a panel of 30 volunteers in the 6th District of the city of Tehran.

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一个基于商店位置的推荐系统，使用用户的位置和网络搜索

摘要如今，收集商业产品的信息可以在线或离线进行。虽然在线搜索可以通过在线购物网站进行，但离线搜索应该在商店进行。然而，有一种特定的新兴趋势，用户可以在去商店之前在线查看一些产品机会，然后可能购买一些已经通过网络评估过特性的商品。产品特性可以在线研究，而现场评估可以在商店直接接触这些商品。本文开发的方法的目的是在搜索和浏览在线购物网站时发现用户的偏好，然后推荐更符合他们兴趣的商店。首先，从网上购物网站中提取用户的网络行为。其次，Voronoi高维结构支持用户和商店之间相似性的推导。第三，生成用户和所选商店之间的距离矩阵。最后，根据用户的产品兴趣和位置向用户提供最合适商店的排名列表。德黑兰市第六区的一个由30名志愿者组成的小组已经成功测试了整个方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.