This paper compares doctoral students and faculty members’ referencing behavior through the analysis of a large corpus of scientific papers. It shows that doctoral students tend to cite more documents per paper than faculty members, and that the literature they cite is, on average, more recent. It also demonstrates that doctoral students cite a larger proportion of conference proceedings and jo...

Communication processes between governments and businesses are increasingly networked. This paper increases our understanding of the information seeking behavior of businesses in the Government-to-Business domain. We conducted a quantitative study among Small and Medium-sized Enterprises in the Netherlands to discover source-channel interaction. The results provided several interactions regardi...

In an interactive information-seeking environment, it is important to consider more user-centric notion of relevance, which includes motivational and affective relevance. In this article we introduce the notion of group’s affective relevance for collaborative information seeking. We explore different ways of measuring it and examine how these measures are related to the performance of teams. In...

Several authors have proposed information seeking as an appropriate perspective for studying software maintenance activities. However, there is little research in the literature describing holistic information-seeking models in this context. Additionally, in the one instance where an information-seeking model has been proposed, the empirical evidence presented in support of that model is extrem...

The complexity involved in the understanding of human collaboration leads to the design of novel approaches for its study. Particularly, in the context of information seeking little is known about collaboration, indeed only during the last years the study of collaborative information seeking (CIS) has become a subject of interest in the research community. Considering the lack of appropriate me...

This paper describes the current status of my doctoral research. In my work I am developing a novel approach to studying division of workload in collaborative tasks, with a particular focus on exploring division of labour in collaborative information seeking. My approach is based on the application of an economic game to the problem of workload division. Using this game as a theoretical and emp...

Professional search in an engineering context includes users on different stages from novice to expert. We discuss how searching as learning can help to understand searching in a larger information seeking, workspace, and learning environment, giving users the tools and understanding to become experts over time. We present some findings of user interaction with engineering domain retrieval syst...

The study investigated the process of information channel selection of Jewish studies scholars in Israel according to two theoretical frameworks, the ‘cost–benefit ratio’ that focused on the quality of the information provided by the channel and the ‘least effort principle’ that focused on the accessibility of the channel. The study sought to identify which of the two parameters, quality of inf...

In this study, we investigate diversified recommendation problem by supervised learning, seeking significant improvement in diversity while maintaining accuracy. In particular, we regard each user as a training instance, and heuristically choose a subset of accurate and diverse items as groundtruth for each user. We then represent each user or item as a vector resulted from the factorization of...

Online social networks improve social experience by connecting users with common interests. Similar to real life, seeking good friends is much easier with recommendations in online social networks. In this paper, we investigate a series of problems related to friendship formation in the hope of improving friend recommendation in social networks. Specially, we seek to understand whether users wh...