Paper Info
Title
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization.
Abstract
It is our great pleasure to welcome you to the UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems (SOAP). Following the successful first edition of the workshop at UMAP 2016, we are happy to see a continuing and increasing interest in the workshop's topics. As with the first edition, for the second edition we were able to accept four highly relevant submissions, allowing us to discuss the challenges of recommending unexpected, nonetheless relevant and impactful artifacts during a focused half-day workshop. With the workshop being originally motivated by interviews with music creators and producers who articulated a strong rejection of \"more-of-the-same\" search engines and recommender systems as they challenge their notion of originality and, ultimately, pose a threat to their artistic identity, we realized that a demand for adaptive and personalized systems that not only have the capability to surprise, but also to oppose and even obstruct can be found in a wider field. In fact, this coincides with ongoing trends to deal with and escape generally negatively connoted effects of automatic recommender systems, such as the so-called \"filter-bubble\". Apart from the potential dangers of such effects on the unreflecting user, there seems to be a growing impression that collaborative, as well as content-based recommender systems keep making obvious, uninspiring, and therefore disengaging suggestions based on previous interactions. Over the last years, this has emphasized the value of system qualities beyond pure accuracy, e.g., diversity, novelty, serendipity, or unexpectedness, to keep the user satisfied. In fact, these approaches to kicking the user out of his or her \"comfort zone\" seem to be highly promising methods to increase satisfaction with a system in the long run.
Year
DOI
Venue
2017
10.1145/3099023.3099095
UMAP (Adjunct Publication)
Field
DocType
Citations 
Recommender system,Internet privacy,World Wide Web,Cultural heritage,Computer science,Originality,Pleasure,Surprise,Novelty,Opposition (planets),Serendipity
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Peter Knees159451.71
Kristina Andersen2518.89
Alan Said333437.52
Marko Tkalcic432933.68