Analysis and evaluation of recommendation systems

Emiko Orimo; Hideki Koike; Toshiyuki Masui; Akikazu Takeuchi

doi:10.1007/978-3-540-73345-4_18

Analysis and evaluation of recommendation systems

Emiko Orimo, Hideki Koike, Toshiyuki Masui, Akikazu Takeuchi

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

2 Citations (Scopus)

Abstract

Popular online services, such as Amazon.com, provide recommendations for users by using other users' rating scores for items. In this study, we describe three types of rating systems: score-rated, count-rated, and digital-rated. We hypothesize that digital-rated systems provide the most useful recommendations. Then we analyze the differences in the results of the rating when the granularity of the score changes. Finally, we visualize users by developing a 2-D visualization system that uses a multi-dimensional scaling method.

Original language	English
Title of host publication	Human Interface and the Management of Information
Subtitle of host publication	Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
Publisher	Springer Verlag
Pages	144-152
Number of pages	9
Edition	PART 1
ISBN (Print)	9783540733447
DOIs	https://doi.org/10.1007/978-3-540-73345-4_18
Publication status	Published - 2007
Externally published	Yes
Event	Symposium on Human Interface 2007 - Beijing, China Duration: 2007 Jul 22 → 2007 Jul 27

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4557 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	Symposium on Human Interface 2007
Country/Territory	China
City	Beijing
Period	07/7/22 → 07/7/27

Keywords

Multi-dimensional scaling method
Rating algorithm
Recommendation system
Visualization

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-73345-4_18

Cite this

Orimo, E., Koike, H., Masui, T., & Takeuchi, A. (2007). Analysis and evaluation of recommendation systems. In Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings (PART 1 ed., pp. 144-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4557 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-73345-4_18

Analysis and evaluation of recommendation systems. / Orimo, Emiko; Koike, Hideki; Masui, Toshiyuki et al.
Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1. ed. Springer Verlag, 2007. p. 144-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4557 LNCS, No. PART 1).

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

Orimo, E, Koike, H, Masui, T & Takeuchi, A 2007, Analysis and evaluation of recommendation systems. in Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4557 LNCS, Springer Verlag, pp. 144-152, Symposium on Human Interface 2007, Beijing, China, 07/7/22. https://doi.org/10.1007/978-3-540-73345-4_18

Orimo E, Koike H, Masui T, Takeuchi A. Analysis and evaluation of recommendation systems. In Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1 ed. Springer Verlag. 2007. p. 144-152. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-73345-4_18

Orimo, Emiko ; Koike, Hideki ; Masui, Toshiyuki et al. / Analysis and evaluation of recommendation systems. Human Interface and the Management of Information: Methods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings. PART 1. ed. Springer Verlag, 2007. pp. 144-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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Analysis and evaluation of recommendation systems

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Keywords

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