Leveraging position bias to improve peer recommendation.

Leveraging position bias to improve peer recommendation.

With the advent of social media and peer production, the amount of new online content has grown dramatically. To identify interesting items in the vast stream of new content, providers must rely on peer recommendation to aggregate opinions of their many users. Due to human cognitive biases, the pres...

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Main Authors: Kristina Lerman, Tad Hogg
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4053364?pdf=render
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spelling doaj-2e1a2909ff83453baf4004e410e601522020-11-24T21:52:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e9891410.1371/journal.pone.0098914Leveraging position bias to improve peer recommendation.Kristina LermanTad HoggWith the advent of social media and peer production, the amount of new online content has grown dramatically. To identify interesting items in the vast stream of new content, providers must rely on peer recommendation to aggregate opinions of their many users. Due to human cognitive biases, the presentation order strongly affects how people allocate attention to the available content. Moreover, we can manipulate attention through the presentation order of items to change the way peer recommendation works. We experimentally evaluate this effect using Amazon Mechanical Turk. We find that different policies for ordering content can steer user attention so as to improve the outcomes of peer recommendation.http://europepmc.org/articles/PMC4053364?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Kristina Lerman
Tad Hogg
spellingShingle Kristina Lerman
Tad Hogg
Leveraging position bias to improve peer recommendation.
PLoS ONE
author_facet Kristina Lerman
Tad Hogg
author_sort Kristina Lerman
title Leveraging position bias to improve peer recommendation.
title_short Leveraging position bias to improve peer recommendation.
title_full Leveraging position bias to improve peer recommendation.
title_fullStr Leveraging position bias to improve peer recommendation.
title_full_unstemmed Leveraging position bias to improve peer recommendation.
title_sort leveraging position bias to improve peer recommendation.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description With the advent of social media and peer production, the amount of new online content has grown dramatically. To identify interesting items in the vast stream of new content, providers must rely on peer recommendation to aggregate opinions of their many users. Due to human cognitive biases, the presentation order strongly affects how people allocate attention to the available content. Moreover, we can manipulate attention through the presentation order of items to change the way peer recommendation works. We experimentally evaluate this effect using Amazon Mechanical Turk. We find that different policies for ordering content can steer user attention so as to improve the outcomes of peer recommendation.
url http://europepmc.org/articles/PMC4053364?pdf=render
work_keys_str_mv AT kristinalerman leveragingpositionbiastoimprovepeerrecommendation
AT tadhogg leveragingpositionbiastoimprovepeerrecommendation
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