Recommendation-aware smartphone sensing system

Mu Yen Chen, Ming Ni Wu, Chia Chen Chen, Young Long Chen, Hsien En Lin

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The context-aware concept is to reduce the gap between users and information systems so that the information systems actively get to understand users' context and demand and in return provide users with better experience. This study integrates the concept of context-aware with association algorithms to establish the context-aware recommendation systems (CARS). The CARS contains three modules and provides the product recommendations for users with their smartphone. First, the simple RSSI Indoor localization module (SRILM) locates the user position and detects the context information surrounding around users. Second, the Apriori recommendation module (ARM) provides effective recommended product information for users through association rules mining. The appropriate product information can be received effectiveness and greatly enhanced the recommendation service.

Original languageEnglish
Pages (from-to)1040-1050
Number of pages11
JournalJournal of Applied Research and Technology
Volume12
Issue number6
DOIs
Publication statusPublished - 2014 Dec 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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