Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach

A significant amount of search queries originate from some real world information need or tasks. In order to improve the search experience of the end users, it is important to have accurate representations of tasks. As a result, significant amount of research has been devoted to extracting proper representations of tasks in order to enable search systems to help users complete their tasks, as well as providing the end user with better query suggestions, for better recommendations, for satisfaction prediction, and for improved personalization in terms of tasks. Most existing task extraction methodologies focus on representing tasks as flat structures. However, tasks often tend to have multiple subtasks associated with them and a more naturalistic representation of tasks would be in terms of a hierarchy, where each task can be composed of multiple (sub)tasks. To this end, we propose an efficient Bayesian nonparametric model for extracting hierarchies of such tasks \& subtasks. We evaluate our method based on real world query log data both through quantitative and crowdsourced experiments and highlight the importance of considering task/subtask hierarchies.Comment: 10 pages. Accepted at SIGIR 2017 as a full pape

e-Consumer Behaviour

Purpose – The primary purpose of this article is to bring together apparently disparate and yet interconnected strands of research and present an integrated model of e-consumer behaviour. It has a secondary objective of stimulating more research in areas identified as still being underexplored. Design/methodology/approach – The paper is discursive, based on analysis and synthesis of econsumer literature. Findings – Despite a broad spectrum of disciplines that investigate e-consumer behaviour and despite this special issue in the area of marketing, there are still areas open for research into econsumer behaviour in marketing, for example the role of image, trust and e-interactivity. The paper develops a model to explain e-consumer behaviour. Research limitations/implications – As a conceptual paper, this study is limited to literature and prior empirical research. It offers the benefit of new research directions for e-retailers in understanding and satisfying e-consumers. The paper provides researchers with a proposed integrated model of e-consumer behaviour. Originality/value – The value of the paper lies in linking a significant body of literature within a unifying theoretical framework and the identification of under-researched areas of e-consumer behaviour in a marketing context

Implicit Measures of Lostness and Success in Web Navigation

In two studies, we investigated the ability of a variety of structural and temporal measures computed from a web navigation path to predict lostness and task success. The user’s task was to find requested target information on specified websites. The web navigation measures were based on counts of visits to web pages and other statistical properties of the web usage graph (such as compactness, stratum, and similarity to the optimal path). Subjective lostness was best predicted by similarity to the optimal path and time on task. The best overall predictor of success on individual tasks was similarity to the optimal path, but other predictors were sometimes superior depending on the particular web navigation task. These measures can be used to diagnose user navigational problems and to help identify problems in website design

The intention to use mobile digital library technology: A focus group study in the United Arab Emirates

IGI Global (“IGI”) granted Brunel University London the permission to archive this article in BURA (http://bura.brunel.ac.uk).This paper presents a qualitative study on student adoption of mobile library technology in a developing world context. The findings support the applicability of a number of existing constructs from the technology acceptance literature, such as perceived ease of use, social influence and trust. However, they also suggest the need to modify some adoption factors previously found in the literature to fit the specific context of mobile library adoption. Perceived value was found to be a more relevant overarching adoption factor than perceived usefulness for this context. Facilitating conditions were identified as important but these differed somewhat from those covered in earlier literature. The research also uncovered the importance of trialability for this type of application. The findings provide a basis for improving theory in the area of mobile library adoption and suggest a number of practical design recommendations to help designers of mobile library technology to create applications that meet user needs

A study on customer interface satisfaction by using TAM and SERVQUAL dimension on the use of technology job search website in Malaysia: A case study

Nowadays, many companies have been using their websites to share job opportunities with job seekers.This paper aims to provide further explanation about the customer interface satisfaction on the use of job search website in Malaysia using technology acceptance model (TAM) and service quality (SERVQUAL) in the case of Universiti Utara Malaysia (UUM) students. Furthermore, the conceptual framework which the researcher attempts to operate in this study includes TAM, SERVQUAL and Customer Satisfaction. More than 100 surveys in both questionnaires and online surveys were distributed to UUM final year students who have used job search website. The result of this study revealed significant relationships between TAM, SERVQUAL and interface satisfactions of job search websites

Gratifications and Credibility Judgment of Online Information for Task Completion – A Comparison of Students and Workers

This study aims to examine the impact of U&G determinants on intention to search online information and to investigate the effect of the intention to intention to evaluate quality of information and its corresponding behaviour between two user groups: students and workers who use the Internet information to complete their tasks. Structural equation modeling is utilized to assess the research model. Findings reveal U&G factors that are important to full-time students and full-time employees. The results also show the differences between the two groups in terms of the effect of a U&G factor and intention to search on its tentative dependent factor. The comparison between students and employees, the exploration of nascent dimensions of U&G theory, and the focus of the task-fulfillment purpose provide insights to educators, managers, and policy makers on how to enhance the credibility of information used in school or office works