What makes a good recommendation or good list of recommendations? Research into
recommender systems has traditionally focused on accuracy, in particular how closely the …

Recommender systems are filters which suggest items or information that might be
interesting to users. These systems analyze the past behavior of a user, build her profile that …

Today recommenders are commonly used with various purposes, especially dealing with e-
commerce and information filtering tools. Content-based recommenders rely on the concept …

Experimental research of opportunistic acquisition of information (OAI) is difficult to design
due to the overall opacity of OAI to both the information users and to the researchers …

Introduction: Serendipitous or accidental discovery of information has often been neglected
in information behaviour models, which tend to focus on information seeking, a more goal …

Serendipity occurs when unexpected circumstances and an “aha” moment of insight result in
a valuable, unanticipated outcome. Designing digital information environments to support …

Serendipity has a long tradition in the history of science as having played a key role in many
significant discoveries. Computer scientists, valuing the role of serendipity in discovery, have …

This paper discusses incidental information acquisition in the light of psychological aspects.
A theoretical introduction is followed by an account of three research projects where …

Purpose–The purpose of this paper is to explore the concept of serendipity and approaches
to its study particularly in relation to information studies. Design/methodology/approach–The …

Accidental Information Discovery: Cultivating Serendipity in the Digital Age provides readers
with an interesting discussion on the ways serendipity—defined as the accidental discovery …