A user re-modeling approach to item recommendation using complex usage data

Oren Sar Shalom; Haggai Roitman; Yishay Mansour; Amir Amihood

doi:10.1145/3121050.3121061

A user re-modeling approach to item recommendation using complex usage data

Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amir Amihood

Department of Computer Science

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

2 Scopus citations

Abstract

We study the problem of item recommendation using complex usage data. We assume that users may interact with items in various ways, each such interaction generates a usage point which may be accompanied with multiple feedback types. In addition, each user may interact with each item multiple times. We propose a generic framework that re-models the user vectors as a post-processing step that can be applied to any Matrix Factorization (MF) method. Using an evaluation on several heterogeneous real-world datasets, we demonstrate the effectiveness of the approach and demonstrate its superiority over two alternative methods.

Original language	English
Title of host publication	ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval
Publisher	Association for Computing Machinery, Inc
Pages	201-208
Number of pages	8
ISBN (Electronic)	9781450344906
DOIs	https://doi.org/10.1145/3121050.3121061
State	Published - 1 Oct 2017
Event	7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017 - Amsterdam, Netherlands Duration: 1 Oct 2017 → 4 Oct 2017

Publication series

Name	ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval

Conference

Conference	7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017
Country/Territory	Netherlands
City	Amsterdam
Period	1/10/17 → 4/10/17

Bibliographical note

Publisher Copyright:
© 2017 Copyright held by the owner/author(s).

Funding

∗ Œis paper is part of the author’s PhD thesis. † Partially supported by ISF grant number 571/14. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permiŠed. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. ICTIR ’17, October 1–4, 2017, Amsterdam, Še Netherlands ©2017ACM. 978-1-4503-4490-6/17/10...$15.00 DOI: .https://doi.org/1145/3121050.3121061

Funders	Funder number
Iowa Science Foundation	571/14

Access to Document

10.1145/3121050.3121061

Cite this

Shalom, O. S., Roitman, H., Mansour, Y., & Amihood, A. (2017). A user re-modeling approach to item recommendation using complex usage data. In ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval (pp. 201-208). (ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3121050.3121061

Shalom, Oren Sar ; Roitman, Haggai ; Mansour, Yishay et al. / A user re-modeling approach to item recommendation using complex usage data. ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc, 2017. pp. 201-208 (ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval).

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Shalom, OS, Roitman, H, Mansour, Y & Amihood, A 2017, A user re-modeling approach to item recommendation using complex usage data. in ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval, Association for Computing Machinery, Inc, pp. 201-208, 7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017, Amsterdam, Netherlands, 1/10/17. https://doi.org/10.1145/3121050.3121061

A user re-modeling approach to item recommendation using complex usage data. / Shalom, Oren Sar; Roitman, Haggai; Mansour, Yishay et al.
ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc, 2017. p. 201-208 (ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval).

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

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Shalom OS, Roitman H, Mansour Y, Amihood A. A user re-modeling approach to item recommendation using complex usage data. In ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval. Association for Computing Machinery, Inc. 2017. p. 201-208. (ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval). doi: 10.1145/3121050.3121061

A user re-modeling approach to item recommendation using complex usage data

Abstract

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