This paper proposes an ontology-based user preferences Bayesian model (UPOBM) for user preferences problem of traditional personalized recommendation. The model incorporates Bayesian network structure and knowledge of ontology to express the casual relations among contexts, user characteristics and user preferences. Taking a restaurant dishes recommendation under e-commerce as an example, the s...

A large and increasing proportion of teaching in UK universities is being fulfilled by staff on casual, rather than permanent, contracts. This paper examines how the casual affected student satisfaction 2014–15. We find that an increased leads to lower satisfaction, even when controlling for respondent's subject, university faculty. suggests a trade-off between casualisation which could have im...

The task of information extraction (IE) calls for limited understanding of text, limited by the demands of the user and the domain of inquiry -IF. returns specific nstances of the concept orrelation of interest tothe user. Whereas IEsystems have, to date, been oriented towards either system experts (e.g., computational linguists) or domain experts (e.g., professionals searching for information ...

Massively Multiplayer Online Games (MMOGs) are popular worldwide. Especially in Korea, there were about 19 million gamers in 2006. Despite this wide popularity, some players have become seriously addicted to online games, causing a serious social problem. However, studies and/or trials to address game addiction problems have rarely been performed. In this paper, we investigate the relationships...

Purpose – This study aims to investigate interrelationships among perceived service fairness, emotions and behavioral intentions in a restaurant context. Design/methodology/approach – Data were collected from two casual dining restaurants in the USA. The data were analyzed following Anderson and Gerbing’s two-step approach, utilizing both a measurement model and a subsequent structural model. F...

Today’s Web is full of structured data, but much of it is transmitted in natural language text or binary images that are not conducive to further machine processing by the time it reaches the user’s web browser. Consequently, casual users—those without programming skills—are limited to whatever features that web sites offer. Encountering a few dozens of addresses of public schools listed in a t...

In this paper, we present a multi-resolution random field model (RFM) and a corresponding algorithm for anomaly subspace detection. We utilize the redundant discrete wavelet transform (RDWT) for generating a multi-resolution feature space, and model each layer by a non-casual RFM with different sets of parameters. A multi-resolution matched subspace detector (MSD) is designed for detecting targ...

Hidden Markov Models (HMMs) have been successful for modelling the dynamics of carefully dictated speech, but their performance degrades severely when used to model conversational speech. This paper presents a preliminary feasibility study of an alternative class of models: loosely coupled HMMs. Since speech is produced by a system of loosely coupled articulators, stochastic models explicitly r...