Title
A New Information Theory-Based Serendipitous Algorithm Design
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-58524-6_26
HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: SUPPORTING LEARNING, DECISION-MAKING AND COLLABORATION, HCI INTERNATIONAL 2017, PT II
Keywords
Field
DocType
Serendipity, Recommendation system, Information theory
Information theory,Recommender system,Data science,Information system,Data mining,Algorithm design,Information technology,Computer science,Empirical research,Serendipity
Conference
Volume
ISSN
Citations 
10274
0302-9743
2
PageRank 
References 
Authors
0.36
17
4
Name
Order
Citations
PageRank
Xiaosong Zhou132.06
Zhan Xu2103.29
Xu Sun3578.56
Qingfeng Wang4187.53