Search Optimization to Select an Item Across E-Commerce Platforms: App Development – QuickCompare

Search Optimization to Select an Item Across E-Commerce Platforms: App Development – QuickCompare

Sridevi M., Rajeshwara Rao R., Varaprasad Rao M.
DOI: 10.4018/978-1-5225-3646-8.ch006
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Abstract

E-commerce is a transaction of buying or selling online. These sites have made life simpler by delivering products to your doorstep. The entire idea of e-commerce is to save the user's time while purchasing goods. This massive expansion of e-commerce gave rise to many applications for the user to choose to buy from. Therefore, people now spend more time comparing the prices of products on various applications before purchasing. This price comparison turned out to be a tedious task for users. With many applications available in the market, it is difficult for the user to navigate between apps to compare specifications like cost, life time, on-time delivery, customer satisfaction, etc. of products or items. So, this chapter explores the “Quick Compare” search, a solution for this hassle that provides instantaneous recommendations based on the end user's input. An android application is developed for this problem and it focuses on efficiency and interoperability.
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Introduction

QuickCompare, as the name suggests, is an Android application that is designed and developed to save both money and time which people spend, on comparing product prices. Users can search for mobile phones online and find the best deal online. The interface is pretty simple and elegant in which the user just needs to enter the product name, and click search. The application searches for the product on various sites and displays the corresponding information. Hence, the user gets to compare prices from multiple sites in one go. Besides the prices, the application also presents reviews of previous buyers. So, the user also gets to know the actual quality and performance of the product searched, along with basic information about the product.

Motivation

The entire idea of e-commerce is to save the user’s time while purchasing goods. This massive expansion of e-commerce gave rise to many applications for the user to choose to buy from. Therefore, people now spend more time comparing the prices of products on various applications before purchasing. This price comparison turned out to be a hectic task for users. With so many applications in the market, it is difficult for the user to navigate between apps to compare prices of products. So, QuickCompare is a solution for this hassle.

Problem Definition

People who regularly use E-commerce to purchase products make a lot of comparisons of products on different applications. Even for the unseasoned, it is quite a dreary task. This situation is being worsened by increase in the number of applications in the market.

Objective of the Project

The main objective of the project is to make the process of price comparison of mobile phones on multiple e-commerce a lot easier to any user. The specifications of the product are also displayed which helps the user better understand the item under comparison. The user reviews of the product are shown which help the user decide on a particular product.

Literature Survey

MV Rao et al., (2017), discussed Web-enabled DSS, Web mining, related to knowledge repositories, and Repository Management Systems that facilitate the problem solving and learning. This approach to the knowledge representation allows considering contemporary DSS as integrated parts of the corresponding Repository Management Systems.

Sridevi et al., (2016) provides the landscape of different recommendation methods and their basic approaches.

Viharika Padma et al. (2016), focuses mainly on user to item based filtering technique. Here, a comparative study is conducted between TOPSIS and AHP for selecting a mobile based on filtering

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System Architecture

Figure 1.

System architecture

978-1-5225-3646-8.ch006.f01

Modules

The proposed model has 4 modules as Module 1: Price List of an Item, which displays the prices from multiple e-commerce platforms in a single fragment. Module 2: Collecting Reviews, it conveys the user reviews relevant to the product. Module 3: Specifications, it displays the specifications relevant to the product and final Module 4: Recommendation, the resultant is Recommendation the product based on the user rating.

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Design

According to Booch, Jacobson and Rumbaugh (1999), the Unified Modeling Language (UML), is a standard language for writing software blue prints. The UML is a language for Visualizing, Specifying, Constructing and Documenting the artifacts of a software intensive system.

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