2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

Antonius Marinus Bogers; Marijn Koolen; Bamshad Mobasher; Alan Said; Casper Petersen

doi:10.1145/3240323.3240332

2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

Antonius Marinus Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (Scopus)

Abstract

Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2018 workshop addresses this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

Original language	English
Title of host publication	RecSys 2018 - 12th ACM Conference on Recommender Systems
Number of pages	2
Publisher	Association for Computing Machinery
Publication date	27 Sept 2018
Pages	510-511
ISBN (Electronic)	9781450359016
DOIs	https://doi.org/10.1145/3240323.3240332
Publication status	Published - 27 Sept 2018
Event	RecSys 2018: 12th ACM Conference on Recommender Systems - Vancouver, BC, Canada, Vancouver, Canada Duration: 2 Oct 2018 → 7 Oct 2018 Conference number: 12 http://recsys.acm.org/recsys18

Conference

Conference	RecSys 2018: 12th ACM Conference on Recommender Systems
Number	12
Location	Vancouver, BC, Canada
Country/Territory	Canada
City	Vancouver
Period	02/10/2018 → 07/10/2018
Internet address	http://recsys.acm.org/recsys18

Keywords

Complex recommendation
Constraint-based recommendation
Context-aware recommendation
Feature-driven recommendation
Query-driven recommendation
Task-based recommendation

Access to Document

10.1145/3240323.3240332

https://dl.acm.org/citation.cfm?id=3240332

AUB Link

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Cite this

@inproceedings{0fe729f2693f49669bd46dc57eaa6cf8,

title = "2nd workshop on recommendation in complex scenarios (ComplexreC 2018)",

abstract = "Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2018 workshop addresses this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.",

keywords = "Complex recommendation, Constraint-based recommendation, Context-aware recommendation, Feature-driven recommendation, Query-driven recommendation, Task-based recommendation",

author = "Bogers, {Antonius Marinus} and Marijn Koolen and Bamshad Mobasher and Alan Said and Casper Petersen",

year = "2018",

month = sep,

day = "27",

doi = "10.1145/3240323.3240332",

language = "English",

pages = "510--511",

booktitle = "RecSys 2018 - 12th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery",

address = "United States",

note = "RecSys 2018: 12th ACM Conference on Recommender Systems, RecSys '18 ; Conference date: 02-10-2018 Through 07-10-2018",

url = "http://recsys.acm.org/recsys18",

}

Bogers, AM, Koolen, M, Mobasher, B, Said, A & Petersen, C 2018, 2nd workshop on recommendation in complex scenarios (ComplexreC 2018). in RecSys 2018 - 12th ACM Conference on Recommender Systems. Association for Computing Machinery, pp. 510-511, RecSys 2018: 12th ACM Conference on Recommender Systems, Vancouver, British Columbia, Canada, 02/10/2018. https://doi.org/10.1145/3240323.3240332

2nd workshop on recommendation in complex scenarios (ComplexreC 2018). / Bogers, Antonius Marinus; Koolen, Marijn; Mobasher, Bamshad et al.
RecSys 2018 - 12th ACM Conference on Recommender Systems. Association for Computing Machinery, 2018. p. 510-511.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - 2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

AU - Bogers, Antonius Marinus

AU - Koolen, Marijn

AU - Mobasher, Bamshad

AU - Said, Alan

AU - Petersen, Casper

N1 - Conference code: 12

PY - 2018/9/27

Y1 - 2018/9/27

N2 - Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2018 workshop addresses this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

AB - Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these state-of-the-art algorithms are typically applied in relatively straightforward scenarios. In reality, recommendation is often a more complex problem: it is usually just a single step in the user's more complex background need. These background needs can often place a variety of constraints on which recommendations are interesting to the user and when they are appropriate. However, relatively little research has been done on these complex recommendation scenarios. The ComplexRec 2018 workshop addresses this by providing an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

KW - Complex recommendation

KW - Constraint-based recommendation

KW - Context-aware recommendation

KW - Feature-driven recommendation

KW - Query-driven recommendation

KW - Task-based recommendation

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U2 - 10.1145/3240323.3240332

DO - 10.1145/3240323.3240332

M3 - Article in proceeding

SP - 510

EP - 511

BT - RecSys 2018 - 12th ACM Conference on Recommender Systems

PB - Association for Computing Machinery

T2 - RecSys 2018: 12th ACM Conference on Recommender Systems

Y2 - 2 October 2018 through 7 October 2018

ER -

2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

RecSys 2018: 12th ACM Conference on Recommender Systems

ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios

ComplexRec 2018: Proceedings of Second Workshop on Recommendation in Complex Scenarios

Cite this

2nd workshop on recommendation in complex scenarios (ComplexreC 2018)

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Activities

RecSys 2018: 12th ACM Conference on Recommender Systems

ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios

Research output

ComplexRec 2018: Proceedings of Second Workshop on Recommendation in Complex Scenarios

Cite this