Online Serendipity: The Case for Curated Recommender Systems

20 Pages Posted: 22 Jun 2016 Last revised: 2 Sep 2016

See all articles by Henry M. Kim

Henry M. Kim

York University - Schulich School of Business; Novera; Insolar

Bita Ghiasi

York University - Schulich School of Business

Max Spear

Indigo Canada Ltd.

Marek Laskowski

York University; University of Guelph

Jiye Li

York University

Date Written: June 20, 2016

Abstract

Recommender systems are effectively used to provide users with suggestions based on their preferences, and first showed their value in e-commerce sites like Amazon and eBay that algorithmically provided recommendations. A key drawback with these systems is that some items need “personal touch” recommendations to spur on purchase, use, or consumption. A recommender system that facilitates “personal touch” recommendations by enabling users to discover good recommenders as opposed to focusing on algorithmically recommending items addresses this drawback. In this paper, we discuss such a system — the Curated Recommender System. The characteristics of this kind of system are as follows: the system discovers curators and curators make recommendations; a curator is typically another user, though it can be an expert or even an algorithm; curators recommend from curated, thematic, and persistent collections of items; the system needs to support social networking; and curation leads to more serendipitous discovery. It is this last characteristic regarding online serendipity that holds particular promise for Curated Recommender System to provide new value for Websites, especially those that sell books, stream content, or provide social networking platforms.

Keywords: recommender systems, curation, e-commerce

Suggested Citation

Kim, Henry M. and Ghiasi, Bita and Spear, Max and Laskowski, Marek and Li, Jiye, Online Serendipity: The Case for Curated Recommender Systems (June 20, 2016). Available at SSRN: https://ssrn.com/abstract=2798347 or http://dx.doi.org/10.2139/ssrn.2798347

Henry M. Kim (Contact Author)

York University - Schulich School of Business ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

Novera ( email )

661 University Ave
Toronto, Ontario M5G 1M1
Canada

Insolar ( email )

Gartenstrasse 6
Zug, 6300
Switzerland

Bita Ghiasi

York University - Schulich School of Business ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

Max Spear

Indigo Canada Ltd. ( email )

Canada

Marek Laskowski

York University ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

University of Guelph ( email )

Guelph, Ontario
Canada

Jiye Li

York University ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

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