Efficient NFC Tagging Pattern-Based Contents Recommendation for Museum Viewers

Abstract

As various ubiquitous computing technologies become applied into many smart space systems, most museums attempt to use these techniques for their own domain. Near Field Communication(NFC) is one of wireless technologies primarily used for short range communication between smart phones and similar devices, supporting a variety of information exchange services in some effective way. In this paper, we present a new user similarity-based contents recommendation service to improve the counterpart of our previously developed museum viewing system by using NFC. In order to satisfy this goal, this service utilizes similarity of artifact attached NFC tagging patterns of users. Its desirable feature enables users to actually find and obtain their favorite contents by systematically consulting the tastes of the other users very close to those of the first. Also, the proposed system may considerably reduce overloading on contents providing servers by having smart phone clients get certain parts of basic artifact related contents information directly through NFC tags, not the servers.