A Framework of Time, Place, Purpose and Personal Profile Based Recommendation Service for Mobile Environment

Abstract

Nowadays more people have started using their mobile phone to access information they need from anywhere at anytime. In advanced mobile technology, Location Service allows users to quickly pinpoint their location as well as makes a recommendation to fascinating events. However, users desire more appropriate recommendation services. In other words, the message service should push a message at a proper place in time. In consequence, customers obtain a higher level of satisfaction. In this paper, we propose a framework of time, place, purpose and personal profile based recommendation service. We illustrate scenarios in "push", "pull" and "don't disturb" services, where our DB queries can recommend the relevant message to users. The three factors: time, place and purpose are mutually dependent and the basic rules to analyze the essential data are summarized. We also create algorithms for DB query. We are filtering messages by one important factor: personal profile such as user's preference and degree of preference. Furthermore, we discuss an implementation of the prototype system, including results of experimental evaluation.

Incorporating users location into snippet based Query recommendation system

“…Also the relationship between time, place and purpose had been given. The basic rules to analyze the essential data and algorithms to query processing are proposed, with the personal profile for message filtering with push message facility [8].…”

Identifying Colors of Products and Associated Personalized Recommendation Engine in e-Fashion Business

“…In [2][3][4], for example, automatic personalization was proposed based on clustering of user transaction and page-views. A prevalent alternative approach for building personalized recommendation engines would be collaborative filtering.…”