Communication Design Quarterly Jun 2015 Open Access

Problem solving in user networks: complex communication issues and item-to-item collaborative filtering

Clinton R. Lanier New Mexico State University

Abstract

This paper argues that online communication products should employ item-to-item collaborative filtering algorithms to equip readers with the best potential sets of information that fits their specific contexts. Many online resources are utilizing item-to-item collaborative filtering algorithms which harness the decisions of users to affect their experience. Examples include the recommendation engine used by Amazon.com to help steer customers to products they might enjoy, the "Music Genome Project" used by the internet radio platform, Pandora, and various user interfaces that quickly determine the best user experience to present each individual user.

Journal
Communication Design Quarterly
Published
2015-06-16
DOI
10.1145/2792989.2792994
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Open Access
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Topics
collaborative writing affect and writing
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Citation Context

Cited by in this index (1)

  1. Swarts (2018)
    Locating and Describing the Work of Technical Communication in an Online User Network
    IEEE Transactions on Professional Communication

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CrossRef global citation count: 3 View in citation network → Build reading path →

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