Client-side mobile user profile for content management using data mining techniques

Mobile device can be used as a medium to send and receive the mobile internet content. However, there are several limitations using mobile internet. Content personalisation has been viewed as an important area when using mobile internet. In order for personalisation to be successful, understanding the user is important. In this paper, we explore the implementation of the user profile at client-side, which may be used whenever user connect to the mobile content provider. The client-side user profile can help to free the provider in performing analysis by using data mining technique at the mobile device. This research investigates the conceptual idea of using clustering and classification of user profile at the client-site mobile. In this paper, we applied K-means and compared several other classification algorithms like TwoStep, Kohenen and Anomaly to determine the boundaries of the important factors using information ranking separation

Mobile content personalisation using intelligent user profile approach

As there are several limitations using mobile internet, mobile content personalisation seems to be an alternative to enhance the experience of using mobile internet. In this paper, we propose the mobile content personalisation framework to facilitate collaboration between the client and the server. This paper investigates clustering and classification techniques using K-means and Artificial Neural Networks (ANN) to predict user's desired content and WAP pages based on device's listed-oriented menu approach. We make use of the user profile and user's information ranking matrix to make prediction of the desired information for the user. Experimental results show that it can generate promising prediction. The results show that it works best when used for predicting 1 matched menu item on the screen

Business Modeling Framework For Personalization In Mobile Business Services

Is presented the structure of a formal framework for personalizationfeatures for mobile business services, which can be used to drive thebusiness modeling of M-business services from a service provider pointof view. It also allows to compute the revenue as linked topersonalization levels and features. A case study has been performedin the area of personalized location based mobile servicespersonalization;individual profiles;location based services;mobile business;mobile services

Architectural implications for context adaptive smart spaces

Buildings and spaces are complex entities containing complex social structures and interactions. A smart space is a composite of the users that inhabit it, the IT infrastructure that supports it, and the sensors and appliances that service it. Rather than separating the IT from the buildings and from the appliances that inhabit them and treating them as separate systems, pervasive computing combines them and allows them to interact. We outline a reactive context architecture that supports this vision of integrated smart spaces and explore some implications for building large-scale pervasive systems

Business Modeling Framework For Personalization In Mobile Business Services

Is presented the structure of a formal framework for personalization features for mobile business services, which can be used to drive the business modeling of M-business services from a service provider point of view. It also allows to compute the revenue as linked to personalization levels and features. A case study has been performed in the area of personalized location based mobile service

Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network

Success or failure of future information and communication services in general and mobile communications in particular is greatly dependent on the level of personalisations they can offer. While the provision of anytime, anywhere, anyhow services has been the focus of wireless telecommunications in recent years, personalisation however has gained more and more attention as the unique selling point of mobile devices. Smart phones should be intelligent enough to match user’s unique needs and preferences to provide a truly personalised service tailored for the individual user. In the first part of this thesis, the importance and role of personalisation in future mobile networks is studied. This is followed, by an agent based futuristic user scenario that addresses the provision of rich data services independent of location. Scenario analysis identifies the requirements and challenges to be solved for the realisation of a personalised service. An architecture based on IP Multimedia Subsystem is proposed for mobility and to provide service continuity whilst roaming between two different access standards. Another aspect of personalisation, which is user preference modelling, is investigated in the context of service selection in a multi 3rd party service provider environment. A model is proposed for the automatic acquisition of user preferences to assist in service selection decision-making. User preferences are modelled based on a two-level Bayesian Metanetwork. Personal agents incorporating the proposed model provide answers to preference related queries such as cost, QoS and service provider reputation. This allows users to have their preferences considered automatically

Is adaptation of e-advertising the way forward?

E-advertising is a multi-billion dollar industry that has shown exponential growth in the last few years. However, although the number of users accessing the Internet increases, users don’t respond positively to adverts. Adaptive e-advertising may be the key to ensuring effectiveness of the ads reaching their target. Moreover, social networks are good sources of user information and can be used to extract user behaviour and characteristics for presentation of personalized advertising. Here we present a two-sided study based on two questionnaires, one directed to Internet users and the other to businesses. Our study shows that businesses agree that personalized advertising is the best way for the future, to maximize effectiveness and profit. In addition, our results indicate that most Internet users would prefer adaptive advertisements. From this study, we can propose a new design for a system that meets both Internet users’ and businesses’ requirements

User context and personalisation

The importance of user context as a means of delivering personalised and context-sensitive systems is discussed. Relevant aspects of personalisation and context technology are covered. The intention is to inspire those interested in Case-base reasoning and personalisation from background and experience in other disciplines such as information retrieval, adaptive user interfaces, user modelling and mobile computing. Descriptions of personalisation and context are followed by their use in information retrieval and their importance and use in ambient computing. Relevant literature that may be a motivating source for interested readers are provided. Various questions are also raised in initiating discussion on this topic

Design issues for agent-based resource locator systems

While knowledge is viewed by many as an asset, it is often difficult to locate particularitems within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work presented complements current research into both expertise finders and recommender systems. The essential issues for the proposed design are scalability, together ith the ability to learn and adapt to changing resources. As knowledge is often implicit within electronic resources, and therefore difficult to locate, we have proposed the use of ontologies, to extract the semantics and infer meaning to obtain the results required. We explore the use of communities of practice, applying ontology-based networks, and e-mail message exchanges to aid the resource discovery process

Perceived mobile interactivity influence on usability and mobile marketing acceptance in the informal hair-care business

A research report submitted to the Faculty of Commerce, Law and Management, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Management in Strategic Marketing 2016The African hair-care business has become a multibillion-dollar industry, stretching from India to china attracting global retailers such as Unilever and L’Oréal. The African hair-care market will continue to grow, especially in the informal sector where it is said to employ about 1.5 people per business on permanent basis. In order for small businesses’ performance to improve in emerging markets, especially in the informal sector, improving their marketing skills is quite essential. Mobile marketing is cost effective and can be utilised to benefit both marketing practitioners and consumers. This is imperative in the informal hair-care industry, where businesses generally lack financial resources and therefore do not have a budget to spend on marketing and advertising. The mobile phone therefore becomes an important marketing channel to reach customers and increase profitability in informal hair-care businesses, yet there has not been much academic research conducted on this and little is known about the factors that might influence mobile marketing acceptance. The purpose of this study is therefore to bridge the gap by investigating perceived mobile interactivity influence on usability and mobile marketing acceptance in the informal hair-care industry in South Africa. A quantitative study was conducted using a sample of 312 informal hair-care business operators in the Johannesburg area. Given the nature of the informal sector, a nonprobability sampling method, known as convenience sampling, was used for data collection. For analysing and interpreting data, Structural Equation Modelling (SEM) approach was utilised. The study findings indicate that perceived interactivity dimensions (control, responsiveness and nonverbal information) have a positive effect on mobile phone usability and lead to mobile marketing acceptance. However, the findings showed a negative relation between perceived personalisation and mobile phone usability. This study aims to contribute to mobile marketing literature, be of benefit to Small, Medium and Micro-sized Enterprises (SMMEs) policy makers and add value to the field of marketing. Key words: perceived control, perceived responsiveness, nonverbal information, perceived personalisation, mobile phone usability, mobile marketing acceptanceGR201