MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces

Taavi T. Taijala; Martijn C. Willemsen; Joseph A Konstan

doi:10.1145/3167132.3167281

MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces

Taavi T. Taijala, Martijn C. Willemsen, Joseph A Konstan

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

This ¹ paper introduces and evaluates MovieExplorer, an interactive exploration tool designed to use the data available in a traditional ratings-based recommender system to provide an interactive interface more suited to user exploration and fulfillment of short-term recommendation needs. A field deployment with 1,950 users showed that users found the tool useful for a variety of exploration and short-term recommendation tasks, even preferring it to existing interfaces for several tasks. Experimentation with several design features found that the actual user navigation algorithms were significant (user satisfaction was lower for algorithms with faked controls) and that offering positive and negative feedback options led to increased feedback and user retention.

Original language	English (US)
Title of host publication	Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018
Publisher	Association for Computing Machinery
Pages	1383-1392
Number of pages	10
ISBN (Electronic)	9781450351911
DOIs	https://doi.org/10.1145/3167132.3167281
State	Published - Apr 9 2018
Event	33rd Annual ACM Symposium on Applied Computing, SAC 2018 - Pau, France Duration: Apr 9 2018 → Apr 13 2018

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Other

Other	33rd Annual ACM Symposium on Applied Computing, SAC 2018
Country/Territory	France
City	Pau
Period	4/9/18 → 4/13/18

Bibliographical note

Funding Information:
We would like to thank F. Maxwell Harper and Qian Zhao for their help with the implementation of the MovieExplorer system and algorithm. This material is based upon work supported by a National Science Foundation Graduate Research Fellowship under Grant No. 00039202.

Publisher Copyright:
© 2018 ACM.

Keywords

Information exploration tools
Interactive recommendation

Publisher link

10.1145/3167132.3167281

Find It

Find It at U of M Libraries

Cite this

Taijala, T. T., Willemsen, M. C., & Konstan, J. A. (2018). MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (pp. 1383-1392). (Proceedings of the ACM Symposium on Applied Computing). Association for Computing Machinery. https://doi.org/10.1145/3167132.3167281

MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces. / Taijala, Taavi T.; Willemsen, Martijn C.; Konstan, Joseph A.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018. Association for Computing Machinery, 2018. p. 1383-1392 (Proceedings of the ACM Symposium on Applied Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Taijala, TT, Willemsen, MC & Konstan, JA 2018, MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces. in Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 1383-1392, 33rd Annual ACM Symposium on Applied Computing, SAC 2018, Pau, France, 4/9/18. https://doi.org/10.1145/3167132.3167281

@inproceedings{118d6ded0c50430dae82d25b43c72a74,

title = "MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces",

abstract = "This 1 paper introduces and evaluates MovieExplorer, an interactive exploration tool designed to use the data available in a traditional ratings-based recommender system to provide an interactive interface more suited to user exploration and fulfillment of short-term recommendation needs. A field deployment with 1,950 users showed that users found the tool useful for a variety of exploration and short-term recommendation tasks, even preferring it to existing interfaces for several tasks. Experimentation with several design features found that the actual user navigation algorithms were significant (user satisfaction was lower for algorithms with faked controls) and that offering positive and negative feedback options led to increased feedback and user retention.",

keywords = "Information exploration tools, Interactive recommendation",

author = "Taijala, {Taavi T.} and Willemsen, {Martijn C.} and Konstan, {Joseph A}",

note = "Funding Information: We would like to thank F. Maxwell Harper and Qian Zhao for their help with the implementation of the MovieExplorer system and algorithm. This material is based upon work supported by a National Science Foundation Graduate Research Fellowship under Grant No. 00039202. Publisher Copyright: {\textcopyright} 2018 ACM.; 33rd Annual ACM Symposium on Applied Computing, SAC 2018 ; Conference date: 09-04-2018 Through 13-04-2018",

year = "2018",

month = apr,

day = "9",

doi = "10.1145/3167132.3167281",

language = "English (US)",

series = "Proceedings of the ACM Symposium on Applied Computing",

publisher = "Association for Computing Machinery",

pages = "1383--1392",

booktitle = "Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018",

}

TY - GEN

T1 - MovieExplorer

T2 - 33rd Annual ACM Symposium on Applied Computing, SAC 2018

AU - Taijala, Taavi T.

AU - Willemsen, Martijn C.

AU - Konstan, Joseph A

N1 - Funding Information: We would like to thank F. Maxwell Harper and Qian Zhao for their help with the implementation of the MovieExplorer system and algorithm. This material is based upon work supported by a National Science Foundation Graduate Research Fellowship under Grant No. 00039202. Publisher Copyright: © 2018 ACM.

PY - 2018/4/9

Y1 - 2018/4/9

N2 - This 1 paper introduces and evaluates MovieExplorer, an interactive exploration tool designed to use the data available in a traditional ratings-based recommender system to provide an interactive interface more suited to user exploration and fulfillment of short-term recommendation needs. A field deployment with 1,950 users showed that users found the tool useful for a variety of exploration and short-term recommendation tasks, even preferring it to existing interfaces for several tasks. Experimentation with several design features found that the actual user navigation algorithms were significant (user satisfaction was lower for algorithms with faked controls) and that offering positive and negative feedback options led to increased feedback and user retention.

AB - This 1 paper introduces and evaluates MovieExplorer, an interactive exploration tool designed to use the data available in a traditional ratings-based recommender system to provide an interactive interface more suited to user exploration and fulfillment of short-term recommendation needs. A field deployment with 1,950 users showed that users found the tool useful for a variety of exploration and short-term recommendation tasks, even preferring it to existing interfaces for several tasks. Experimentation with several design features found that the actual user navigation algorithms were significant (user satisfaction was lower for algorithms with faked controls) and that offering positive and negative feedback options led to increased feedback and user retention.

KW - Information exploration tools

KW - Interactive recommendation

UR - http://www.scopus.com/inward/record.url?scp=85050557633&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050557633&partnerID=8YFLogxK

U2 - 10.1145/3167132.3167281

DO - 10.1145/3167132.3167281

M3 - Conference contribution

AN - SCOPUS:85050557633

T3 - Proceedings of the ACM Symposium on Applied Computing

SP - 1383

EP - 1392

BT - Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018

PB - Association for Computing Machinery

Y2 - 9 April 2018 through 13 April 2018

ER -

MovieExplorer: Building an interactive exploration tool from ratings and latent taste spaces

Abstract

Publication series

Other

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this