Vol-1892
urn:nbn:de:0074-1892-9

Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

ComplexRec 2017
Recommendation in Complex Scenarios

Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios
co-located with 11th ACM Conference on Recommender Systems (RecSys 2017)

Como, Italy, August 31, 2017.

Edited by

Toine Bogers (1)
Marijn Koolen (2)
Bamshad Mobasher (3)
Alan Said (4)
Alexander Tuzhilin (5)

(1) Aalborg University Copenhagen, Copenhagen, Denmark
(2) Huygens/ING, Amsterdam, Netherlands
(3) DePaul University, School of Computing, Chicago, IL, USA
(4) University of Skövde, Skövde, Sweden
(5) New York University, Stern School of Business, New York, NY, USA

Table of Contents

Overview and keynote

Workshop on Recommendation in Complex Scenarios (ComplexRec 2017) 1-2
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Challenges of Session-Aware Recommendation in E-Commerce (keynote) 3-4
Dietmar Jannach

Regular papers

Body Measure-aware Fashion Product Recommendations: Evaluating the Predictive Power of Body Scan Data 5-8
Alexander Piazza, Jochen Süßmuth, Freimut Bodendorf
Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics 9-13
Christoph Lofi, Nava Tintarev
Extracting Context Data from User Reviews for Recommendation: A Linked Data Approach 14-18
Pedro G. Campos, Nicolás Rodríguez-Artigot, Iván Cantador
Personalized Voice Search for Internet TV 19-22
Joaquin A. Delgado, Ravi Kalluri, Krishnaja Gutta, Arun B. Krishna, Devon Turner
Matrix Factorization for Package Recommendations 23-28
Agung Toto Wibowo, Advaith Siddharthan, Chenghua Lin, Judith Masthoff

2017-08-18: submitted by Marijn Koolen, metadata incl. bibliographic data published under Creative Commons CC0
2017-08-18: published on CEUR-WS.org |valid HTML5|