A Profile Ontology for Personalised Mobile Shopping Support

International Journal of Computer Applications, 2012

The personalization is to facilitate the expression of the user's need and enable him to obtain relevant information in these information system accesses. The relevance of information is defined by a set of customizable preferences specific to each user or user community. Data describing users are often grouped as profiles. The content of a user's profile varies according to approaches and applications. Existing approaches solves partially problems related to personalization, but it lacks a model giving a complete overview of all aspects of taking into account the preferences of users. In this paper we propose a generic model of profile that includes all aspects of personalization. The proposed model will be the basis of building an ontology called O'Profil able to store all this information, personalize the content and to instantiate the user profile.

International Journal of u- and e- Service, Science and Technology, 2014

Personalization is a desired functionality for applications within mobile environments. One approach to personalization of mobile services is by the use of contextual information. In this paper we describe an architecture for this purpose where we utilize semantic web technologies representing person-profiles. The developed ontology that covers personal information and food information is based on personas and scenarios from the food shopping domain. The profile covers three levels of information; personal information, long term information and temporary interests. The proposed concept of personalization is illustrated in two scenarios. The personalization concept illustrated in the form of videos showing the scenarios at work is evaluated by using the Technology Acceptance Model (TAM) to identify variables for investigations of mechanisms important for understanding interest in and acceptance of this type of solution.

First International Conference on Advances in Computer-Human Interaction, 2008

adaptive systems aim at automatically personalizing the user's environment depending on the user's situation, and hence, minimizing user interaction with the system. We present a novel user profile ontology that is dedicated to describe situation-dependent sub-profiles. This ontology can be used by context-aware adaptive service platforms for mobile communication and information services to automatically trigger the situation-dependent personalization of services. The design of this novel ontology also takes into consideration recommendations from the human factors research area. In particular, the ontology enables the easy specification of situational conditions and situation-dependent user sub-profiles.

Proceedings of the First RCIS conference, 2007

2015

The goal of user personalization is to provide personalized services based on user’s interests and preferences, thus allowing for more efficient information access. The ability to adapt fast to the current user's interests is an important feature of user model. Responsibility of a search engine growing like never before to fetch and provide not only meaningful results for the given query but also personalized the results uniquely to each and every user of the search engine. For user’s input query, user wants relevancy in obtained results. A concept of Ontology is been introduced in search engines to get more meaningful and relevant results with respect to the user’s query. Ontology describes the concepts in the domain and relationships between those concepts. The most recent development in standard ontology languages is OWL (Ontology Web Language). OWL makes it possible to describe concept to its full extent and enables the search engines to provide accurate results to the user....

2006

ABSTRACT Learning is a cognitive activity that differs from student to student. Most of the eLearning systems do not take into account individual aspects of students, ignoring the different needs that are specific to existing cognitive profiles. In this paper, we present an approach to eLearning personalization based on an ontology. We developed a student model that is integrated with an ontology, enabling the personalization system to guide the student's learning process.

2007 International Conference on Mobile Data Management, 2007

The current personalization solutions are service specific and use their own conceptual model for representation of personalization information.

2010

Personalization, a topmost concern of modern recommendation systems (RS), is intended to predict individual motivation of a customer for this or that choice. It depends on many factors forming explicit and implicit decision context. The paper proposes RS personalization technology that focuses on ontology-based extraction of semantically interpretable context of each particular customer's decisions from his/her historical data sample with the subsequent machine learningbased extraction of customer-centered feature set and personal cause-consequence decision rules. The technology is fully implemented by Practical Reasoning, Inc. and validated via several case studies.

2005

Nowadays, our personal computer contains a huge amount of information, that is stored in several different formats, including emails, pictures, text documents, media file, address books, etc. When we need to look for some information, one possibility is to use a keyword-based search tool, such as Google Desktop [1]. We then get several links to documents, mails, databases, etc.

Italian Research Conf. on Digital Library Management Systems (IRCDL’06), 2006

Abstract—Nowadays, our personal computer contains a huge amount of information, that is stored in several different formats. When looking for an information, one possibility is to use a keyword-based search tool. However, this kind of tool has several well-known limitations. In this paper we propose a framework for Personal Information Management, called OntoPIM, that relies on the use of a Personal Ontology, to assign a semantics to the information contained in the user desktop, as well as to query the system. In particular, by ...