Review of User Interface-Facilitated Serendipity in Recommender Systems

Review of User Interface-Facilitated Serendipity in Recommender Systems

Ahmad Hassan Afridi, Thomas Olsson
DOI: 10.4018/IJICST.320180
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Abstract

Serendipity has become a desirable quality in designing recommender systems and user interfaces, hence offering a new measurement for system quality. At the same time, recognizing serendipitous experiences and determining their value is difficult due to their subjective nature. This review builds on 10 studies of user interfaces facilitating serendipity studies and attempts to understand the patterns that guide relevant user interface designs in recent recommender systems. This study furthers our understanding of turning the elusive experience of serendipity into more actionable user interface designs and patterns. The key findings are as follows. First, user controls and visualizations have facilitated serendipity, but studies of recommender systems have not gained considerable attention. Second, frameworks instrumental for user-interface-facilitated serendipity have not gained the researcher's worthy attention. Third, developing countries need to explore serendipity-facilitating recommender systems with more diverse users and more prominent test cases.
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Background

This section provides a background to contextualize the review. This section explains vital attributes of the recommender systems, followed by an overview of the research landscape, which encompasses journals, books, and publications. User-interface-facilitated serendipity is a process used to facilitate serendipity via user controls and visualizations. A recommender system facilitates serendipity when the user stumbles upon a surprising and useful recommendation. This potential feature of recommending systems opens new avenues for finding solutions to problems through unknown and unanticipated routes. It can be helpful as a solution in situations where researchers intentionally seek serendipitous results but can also be found spontaneously.

Further, it can be helpful to find something beneficial in the future and even build up a stack of solutions that could be useful later. Before discussing serendipity and recommender systems in detail, we briefly discuss the terms used throughout the article. The terms are described as follows.

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