Serefind: a crowd-powered search engine

Authors:
Pramod Verma
Affiliations:
Serefind, Baltimore, MD, USA
Venue:
Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing
Year:
2014

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Crowd-powered systems

Crowd-powered systems

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Abstract

This paper presents the design and implementation of Serefind: a crowd-powered search engine where search results are mostly curated, generated, ranked, and reviewed by the users. We addressed various challenges in designing a crowd-powered search engine such as heterogeneous data sharing with well-defined data definition or schema, security and privacy issues, quality assurances, etc. We propose novel user interfaces and design solutions to overcome those issues. A prototype is available at http://serefind.com. Finally, we demonstrated various use cases of Serefind such as finding, sharing, and exploring news, places, jobs, classifieds, events, crime, dating, real estate, multimedia, etc.