Common attributes in an unusual context: Predicting the desirability of a social match

Document Type

Conference Proceeding

Publication Date

12-15-2010

Abstract

Social matching systems recommend people to other people. With the widespread adoption of smartphones, mobile social matching systems could potentially transform our social landscape. However, we have a limited understanding of what makes a good social match in the mobile context. We present a theoretical framework which outlines how a user's context and the rarity of different affinity measures in various contexts (match rarity) can be used to provide valuable social matches. We suggest that if a user attribute is very rare in a particular context, users will generally be more interested in an affinity match. We conducted a survey study to assess this framework with 117 respondents. We found that both context and match rarity significantly influence interest in a social match. These results validate the key aspects of the framework. We discuss the results in terms of implications for social matching system design. Copyright 2010 ACM.

Identifier

78649931412 (Scopus)

ISBN

[9781450304429]

Publication Title

Recsys 10 Proceedings of the 4th ACM Conference on Recommender Systems

External Full Text Location

https://doi.org/10.1145/1864708.1864781

First Page

337

Last Page

340

This document is currently not available here.

Share

COinS