How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content-Reference-Cited by-同舟云学术

How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Yang Longqi¹,Sobolev Michael¹,Wang Yu²,Chen Jenny³,Dunne Drew¹,Tsangouri Christina¹,Dell Nicola¹,Naaman Mor¹,Estrin Deborah¹

Affiliation:

1. Cornell University, USA

2. Himalaya Media, USA

3. City University of New York, USA

Publisher

ACM Press

Reference54 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-aware recommender systems. In Recommender systems handbook. Springer, 217-253.

2. Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, and Raghu Ramakrishnan. 2013. Content recommendation on web portals. Commun. ACM 56, 6 (2013), 92-101.

3. Eytan Bakshy, Solomon Messing, and Lada A Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 (2015), 1130-1132.

4. Oded Berger-Tal, Jonathan Nathan, Ehud Meron, and David Saltz. 2014. The exploration-exploitation dilemma: a multidisciplinary framework. PloS one 9, 4 (2014), e95693.

5. Jana Besser, Martha Larson, and Katja Hofmann. 2010. Podcast search: User goals and retrieval technologies. Online information review(2010).

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