A new information theory-based serendipitous algorithm design
The development of information technology has stimulated an increasing number of researchers to investigate how to provide serendipitous experience to users in the digital environment, especially in the fields of information research and recommendation systems. Although a number of achievements have...
| Main Authors: | , , , |
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| Format: | Article |
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Springer Verlag
2017
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| Online Access: | https://eprints.nottingham.ac.uk/47691/ |
| _version_ | 1848797606431424512 |
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| author | Zhou, Xiaosong Xu, Zhan Sun, Xu Wang, Qingfeng |
| author_facet | Zhou, Xiaosong Xu, Zhan Sun, Xu Wang, Qingfeng |
| author_sort | Zhou, Xiaosong |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The development of information technology has stimulated an increasing number of researchers to investigate how to provide serendipitous experience to users in the digital environment, especially in the fields of information research and recommendation systems. Although a number of achievements have been made in understanding the nature of serendipity in the context of information research, few of these achievements have been employed in the design of information systems. This paper proposes a new serendipitous recommendation algorithm based on previous empirical studies by taking into considerations of the three important elements of serendipity, namely “unexpectedness”, “insight” and “value”. We consider our design of the algorithm as an important attempt to bridge the research fruits between the two areas of information research and recommendation systems. By applying the designed algorithm to a game-based application in a real life experiment with target users, we have found that comparing to the conventional designed method; the proposed algorithm has successfully provided more possibilities to the participants to experience serendipitous encountering. |
| first_indexed | 2025-11-14T20:06:33Z |
| format | Article |
| id | nottingham-47691 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:06:33Z |
| publishDate | 2017 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-476912020-05-04T18:46:04Z https://eprints.nottingham.ac.uk/47691/ A new information theory-based serendipitous algorithm design Zhou, Xiaosong Xu, Zhan Sun, Xu Wang, Qingfeng The development of information technology has stimulated an increasing number of researchers to investigate how to provide serendipitous experience to users in the digital environment, especially in the fields of information research and recommendation systems. Although a number of achievements have been made in understanding the nature of serendipity in the context of information research, few of these achievements have been employed in the design of information systems. This paper proposes a new serendipitous recommendation algorithm based on previous empirical studies by taking into considerations of the three important elements of serendipity, namely “unexpectedness”, “insight” and “value”. We consider our design of the algorithm as an important attempt to bridge the research fruits between the two areas of information research and recommendation systems. By applying the designed algorithm to a game-based application in a real life experiment with target users, we have found that comparing to the conventional designed method; the proposed algorithm has successfully provided more possibilities to the participants to experience serendipitous encountering. Springer Verlag 2017-05-18 Article PeerReviewed Zhou, Xiaosong, Xu, Zhan, Sun, Xu and Wang, Qingfeng (2017) A new information theory-based serendipitous algorithm design. Lecture Notes in Artificial Intelligence, 10274 . pp. 314-327. ISSN 0302-9743 Serendipity; Recommendation system; Information theory https://link.springer.com/chapter/10.1007%2F978-3-319-58524-6_26 doi:10.1007/978-3-319-58524-6_26 doi:10.1007/978-3-319-58524-6_26 |
| spellingShingle | Serendipity; Recommendation system; Information theory Zhou, Xiaosong Xu, Zhan Sun, Xu Wang, Qingfeng A new information theory-based serendipitous algorithm design |
| title | A new information theory-based serendipitous algorithm design |
| title_full | A new information theory-based serendipitous algorithm design |
| title_fullStr | A new information theory-based serendipitous algorithm design |
| title_full_unstemmed | A new information theory-based serendipitous algorithm design |
| title_short | A new information theory-based serendipitous algorithm design |
| title_sort | new information theory-based serendipitous algorithm design |
| topic | Serendipity; Recommendation system; Information theory |
| url | https://eprints.nottingham.ac.uk/47691/ https://eprints.nottingham.ac.uk/47691/ https://eprints.nottingham.ac.uk/47691/ |