Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Investing Data with Machine Learning Using Python Read chapter Read first chapter

2020 | OriginalPaper | Chapter

30. An Architecture for Data Unification in E-commerce using Graph

Authors : Sonal Tuteja, Rajeev Kumar

Published in: Strategic System Assurance and Business Analytics

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Graph model has emerged as a contemporary technique for relationship-centric applications because of its various features like index-free adjacency, schema-less data, faster traversal of relationships, etc. In large-scale e-commerce applications, heterogeneous models are utilized for storing different types of data, e.g., relational model for transactional processing, ontology for product information, graph model for user preferences, etc. However, it creates overhead of accessing multiple data models for query processing. In this paper, we present a data modeling architecture for e-commerce which can be utilized for data unification from different data models to graph model. To verify the applicability of our approach, we analyze and compare query performance of our approach with heterogeneous data models. In addition, we also discuss the issues and challenges for adopting graph model for e-commerce applications.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Improving Customer Satisfaction Through Reduction in Post Release Defect Density (PRDD)
next chapter Road Accidents in EU, USA and India: A critical analysis of Data Collection Framework
Literature
1.
Zimeo E, Oliva G, Baldi F, Caracciolo A (2013) Designing a scalable social e-commerce application. Scalable Comput: Pract Experience 14(2):131–141
2.
Yu H, Huang X, Hu X, Wan C (2009) Knowledge management in E-commerce: a data mining perspective. In: 2009 International conference on management of e-Commerce and e-Government. IEEE, pp 152–155
3.
Huang Z (2005) Graph-based analysis for E-commerce recommendation. Ph.D. Dissertation, University of Arizona, USA
4.
Ding L, Han B, Wang S, Li X, Song B (2019) User-centered recommendation using us-elm based on dynamic graph model in e-commerce. Int J Mach Learn Cybernet 10(4):693–703CrossRef
5.
Codd EF (1990) The relational model for database management: version 2. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA
6.
Kaur K, Rani R (2015) Managing data in healthcare information systems: many models, one solution. Computer 48(3):52–59CrossRef
7.
Ma S, Li J, Hu C, Lin X, Huai J (2016) Big graph search: challenges and techniques. Front Comput Sci 10(3):387–398CrossRef
8.
Srinivasa S (2012) Data, storage and index models for graph databases. In Graph data management: techniques and applications. IGI Global, pp 47–70
9.
Pokorný J (2015) Graph databases: their power and limitations. In: IFIP international conference on computer information systems and industrial management. Springer, Cham, pp 58–69
10.
11.
Neo-Technology (2015) Walmart uses Neo4j to optimize customer experience with personal recommendations (case study). Neo-Technology
12.
Neo-Technology (2014) EBay now tackles e-Commerce delivery service routing with Neo4j (case study). Neo Technology
13.
Costa LDF, Oliveira ON Jr, Travieso G, Rodrigues FA, Villas Boas PR, Antiqueira L, Viana MP, Correa Rocha LE (2011) Analyzing and modeling real-world phenomena with complex networks: a survey of applications. Adv Phys 60(3):329–412CrossRef
14.
Neo-Technology (2015) The power of graph-based search (white paper). Neo-Technology
15.
Neo-Technology (2014) Powering recommendations with a graph database. Neo-Technology
16.
Webber J, Robinson I (2015) The top 5 use cases of graph databases (white paper). Neo-Technology
Metadata
Title
An Architecture for Data Unification in E-commerce using Graph
Authors
Sonal Tuteja
Rajeev Kumar
Copyright Year
2020
Publisher
Springer Singapore
Book
Strategic System Assurance and Business Analytics

Print ISBN: 978-981-15-3646-5

Electronic ISBN: 978-981-15-3647-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-3647-2_30

Premium Partner

    Image Credits