Σημασιολογικές συστάσεις μέσω εφαρμογής android κινητού
A semantic recommendations mobile application
KeywordsΣημασιολογικές συστάσεις ; Semantic recommendations ; Semantic web application ; Semantic web ; Σημασιολογικός Ιστός ; Εφαρμογή android
Recommender systems are essential in mobile commerce to benefit both companies and individuals by offering highly personalized products and services. One key pre-requirement of applying such systems is to gain decent knowledge about each individual consumer through user profiling. However, most existing profiling approaches on mobile suffer problems such as non-real-time, intrusive, cold-start, and non-scalable, which prevents them from being adopted in reality. Through the approach of this postgraduate dissertation, we aim to tackle some of these problems by using openly accessible data of the users (e.g. app installation logs) and making semantic recommendations through the use of semantic web technologies.