HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >

Incremental Set Recommendation Based on Class Differences

Files in This Item:
145.pdf181.48 kBPDFView/Open
Please use this identifier to cite or link to this item:

Title: Incremental Set Recommendation Based on Class Differences
Authors: Shirai, Yasuyuki Browse this author
Tsuruma, Koji Browse this author
Sakurai, Yuko Browse this author →KAKEN DB
Oyama, Satoshi Browse this author →KAKEN DB
Minato, Shin-ichi Browse this author →KAKEN DB
Keywords: recommendation
collaborative filtering
zero-suppressed binary decision diagram
Issue Date: 2012
Publisher: Springer
Citation: Advances in Knowledge Discovery and Data Mining, Part of the Lecture Notes in Computer Science book series (LNCS, volume 7301), ISBN: 978-3-642-30216-9
Journal Title: Lecture Notes in Computer Science
Volume: 7301
Start Page: 183
End Page: 194
Publisher DOI: 10.1007/978-3-642-30217-6_16
Abstract: In this paper, we present a set recommendation framework that proposes sets of items, whereas conventional recommendation methods recommend each item independently. Our new approach to the set recommendation framework can propose sets of items on the basis on the user’s initially chosen set. In this approach, items are added to or deleted from the initial set so that the modified set matches the target classification. Since the data sets created by the latest applications can be quite large, we use ZDD (Zero-suppressed Binary Decision Diagram) to make the searching more efficient. This framework is applicable to a wide range of applications such as advertising on the Internet and healthy life advice based on personal lifelog data.
Rights: The final publication is available at Springer via
Type: article (author version)
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小山 聡

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University