A cloud-based service recommendation system for use in UCWW

Ivan Ganchev, Zhanlin Ji, Máirtín O'Droma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes the design and implementation of a cloud-based service recommendation system used to discover and suggest to users the 'best' mobile services in the emerging ubiquitous consumer wireless world (UCWW). With this distributed system, the UCWW cloud provider collects user behavior (e.g., Internet logs, web browsing, searching for services, participation in social networks, online shopping, friends' recommendations for services, etc.), analyzes this 'big data' in the cloud, and recommends the 'best' mobile services applicable to that particular user under the always best connected and best served (ABC&S) paradigm. A number of novel software solutions, both on the user- and cloud side, are proposed. An approach towards running this service recommendation system in a flexible and intelligent way is elaborated.

Original languageEnglish
Title of host publication2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages791-795
Number of pages5
ISBN (Electronic)9781479958634
DOIs
Publication statusPublished - 21 Oct 2014
Event2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Barcelona, Spain
Duration: 26 Aug 201429 Aug 2014

Publication series

Name2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014 - Proceedings

Conference

Conference2014 11th International Symposium on Wireless Communications Systems, ISWCS 2014
Country/TerritorySpain
CityBarcelona
Period26/08/1429/08/14

Keywords

  • ABC&S
  • Android
  • Hadoop
  • Mobile Cloud
  • Redis
  • Service Recommendation System
  • UCWW

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