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Nowadays, composite service has led to a new challenge as there are various kinds of users and an increasing number of similar Web services. This challenge is to pick out the most appropriate composition for user requester. However, a composite service is determined by the quality of the involved Web services and some user preferences. Consequently, the best composition optimizes the QoS (Quality...
O2O (Online to Offline) is a new type of e-commerce model. Traditional recommendation methods focus on commodity rather than service, and lack the consideration on customer context and service status. In order to improve the quality of O2O service recommendation, this paper proposes an O2O service recommendation algorithm based on customer context and trust service. The method mainly includes two...
The concept of O2O caught great interests from operators and researchers. Although O2O brings great opportunity to the market, the chaos and lack of credit make big problems to the thrive of O2O. The context and preference clustering model is proposed in this paper to study the affection of both customer context and service preference. The proposed model aims to realize a clustering method for both...
In the last few years, O2O (Online To Offline) mode become more and more popular, which brings offline service and online web service together, it is important to consider the quality attributes of offline service when recommending service for users online. But in the field of service discovery system, most of the studies focused on function and quality requirements of online service, not on offline...
While the modeling of QoE has made significant advances over the last couple of years, currently existing models still lack an integration of user behavior aspects and user context factors along with the consideration of appropriate temporal scales. Therefore, the goal of this paper is to present a comprehensive QoE and user behavior model providing a framework which allows joining a multitude of...
Information and Communication Technologies have changed the way people live and work. Today, in the education field, there are a variety of education systems supporting innovative methods of learning and many universities are investing in creating their own eLearning Environments. Besides, learners' disabilities and learning difficulties still an issue, people can learn easily and deliver better outcomes...
In today's document sharing environment, when documents are shared over a group of people, document context of document and context of user is not considered. Therefore sometimes it may happen that the document may get delivered to unintended user over the network. This leads to unnecessary transfer of document. To reduce this document transfer overhead, we are proposing a system that will consider...
The evolution of information retrieval is intimately linked to the evolution of the Web. Although the involvement of different context dimensions in the improvement of the search task was greatly studied, the abundant development of hardware and software opens ways to explore new contextual dimensions. This paper presents the different contextual dimensions studies in the literature and proposes a...
Public transportation guidance services, such as Yahoo, Jorudan and NAVITIME, are widely used nowadays and support our daily lives. Although they provide useful services, they have not fully been personalized yet. This paper presents a personalized transportation system called Patrash: Personalized Autonomous TRAnsportation recommendation System considering user context and History. In particular,...
A personalized system considering user context and social histories is attractive. We present a personalized transportation system called PATRASH: Personalized Autonomous Transportation recommendation System considering user context and History. PATRASH considers not only users' context and transportation histories, but also real bus delay. The bus delay returned by Bus Delay API (BDAPI) is used for...
Learning process can be enhanced by offering students, resources that are closer to their reality. Besides, the wide use of Mobile devices brings the opportunity to go beyond classrooms and computer based learning objects. The AUTO4L Framework for personalized automated composition of Web resources based the user context. AUTO4L is highly applicable to STEM classrooms. The philosophy of AUTO4L allows...
In this paper, we propose a novel learning classifier system with the cooperative co-evolutionary mechanism to obtain accurate user preference information in context-aware mobile service adaptation. Our system can generate new user's initial classifier population to accelerate its converging speed and also help the current user to predict the action corresponding to an uncovered context. Experimental...
With the development of Internet, personalized services have been widely used. Especially, personalized search are getting more and more attention. Aiming at improving the effectiveness of existing methods of personalized search, this paper proposes a method of generating interactive environment which provides semantic background for a search session. Interactive environment involves two aspects of...
Under the dynamic environment where competition of new service development is significantly increased, most of new mobile services are developed based on the analysis of everyday-life of user. Therefore, understanding of user context can provide a wide scope of information including location, time, purpose, or social setting that can provide significant information to develop new mobile application...
Localization is one of the key enabling technologies for wireless services now penetrating into everyday life. Unfortunately, existing localization schemes are often energy inefficient (such as GPS), or inaccurate (based on signal-distance conversion), or labor intensive (requiring periodic fingerprinting). In this paper we propose a novel localization scheme termed COAL, for COntext Aware Localization,...
Localization is one of the principal enabling wireless services now penetrating into every aspect of our life. Unfortunately, present localization schemes are often inaccurate (based on signal-distance conversion), or energy inefficient (such as GPS), or labor intensive (requiring previous field signal data collection). In this paper, a novel localization scheme named COAL, for COntext Aware Localization,...
The traditional techniques developed to deal with the issues in business process improvement don't meet the current and future organizations requirements. The existing methods are technology/fixed business process centric and not user-centric. The systems that can recognize the context of the user can bring great benefits especially enabling businesses to run more efficiently from any location. In...
Due to recent advancements in social networks, many people can consume diversified services on a daily basis and have developed an association with different communities of interest (COIs) via these services. However, a person only accesses a subset of these services at a given time either to consume certain services or to share information with a COI. This paper tries to answer two important research...
Personalized search, navigation and content delivery techniques have attracted interest in the recommender systems as a means to decrease search ambiguity and return results most relevant to a particular user preferences. In this paper, we study the effect of incorporating user semantic profile derived from past user's behavior and preferences on the accuracy of a recommender system. We present a...
Recent rich services provided by mobile devices take a form of composite services consisting of several constituent atomic services and they are gaining popularity due to technological advances and wireless network infrastructures. To make the best use of these technological benefits, the services given by the device need to be developed and provided with consideration of user context that contains...
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