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

Casper Petersen; Toine Bogers; Marijn Koolen; Bamshad Mobasher; Alan Said

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

Casper Petersen (Editor)
, Toine Bogers (Editor)
, Marijn Koolen (Editor)
, Bamshad Mobasher (Editor)
, Alan Said (Editor)

Research output: Book / Anthology / Report › Anthology › Research › peer-review

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 and static scenarios: given information about a user’s past item preferences in isolation, can we predict whether they will like a new item or rank all unseen items based on predicted interest?

In reality, recommendation is often a more complex problem: the evaluation of a list of recommended items never takes place in a vacuum, and it is often a single step in the user’s more complex background task or need. The goal of the ComplexRec 2018 workshop is to offer an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

Original language	English

Number of pages	37
Publication status	Published - 7 Oct 2018
Externally published	Yes
Event	ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios - Vancouver, BC, Canada, Vancouver, Canada Duration: 7 Oct 2018 → 7 Oct 2018 Conference number: 2 http://complexrec2018.aau.dk

Workshop

Workshop	ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios
Number	2
Location	Vancouver, BC, Canada
Country/Territory	Canada
City	Vancouver
Period	07/10/2018 → 07/10/2018
Internet address	http://complexrec2018.aau.dk

Keywords

Recommendation Algorithms
Ratings Prediction
Item Ranking
Complex User Scenarios
Context-Aware Recommendations

Access to Document

http://toinebogers.com/workshops/complexrec2018/resources/proceedings.pdf

2nd workshop on recommendation in complex scenarios (ComplexreC 2018)
Bogers, A. M., Koolen, M., Mobasher, B., Said, A. & Petersen, C., 27 Sept 2018, RecSys 2018 - 12th ACM Conference on Recommender Systems. Association for Computing Machinery, p. 510-511 2 p.
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Cite this

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title = "ComplexRec 2018: Proceedings of Second Workshop on Recommendation in Complex Scenarios",

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 and static scenarios: given information about a user{\textquoteright}s past item preferences in isolation, can we predict whether they will like a new item or rank all unseen items based on predicted interest? In reality, recommendation is often a more complex problem: the evaluation of a list of recommended items never takes place in a vacuum, and it is often a single step in the user{\textquoteright}s more complex background task or need. The goal of the ComplexRec 2018 workshop is to offer an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.",

keywords = "Recommendation Algorithms, Ratings Prediction, Item Ranking, Complex User Scenarios, Context-Aware Recommendations, Recommendation Algorithms, Ratings Prediction, Item Ranking, Complex User Scenarios, Context-Aware Recommendations",

editor = "Casper Petersen and Toine Bogers and Marijn Koolen and Bamshad Mobasher and Alan Said",

year = "2018",

month = oct,

day = "7",

language = "English",

note = "ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios, ComplexRec 2018 ; Conference date: 07-10-2018 Through 07-10-2018",

url = "http://complexrec2018.aau.dk",

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T1 - ComplexRec 2018

T2 - ComplexRec 2018: 2nd Workshop on Recommendation in Complex Scenarios

A2 - Petersen, Casper

A2 - Bogers, Toine

A2 - Koolen, Marijn

A2 - Mobasher, Bamshad

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N1 - Conference code: 2

PY - 2018/10/7

Y1 - 2018/10/7

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 and static scenarios: given information about a user’s past item preferences in isolation, can we predict whether they will like a new item or rank all unseen items based on predicted interest? In reality, recommendation is often a more complex problem: the evaluation of a list of recommended items never takes place in a vacuum, and it is often a single step in the user’s more complex background task or need. The goal of the ComplexRec 2018 workshop is to offer 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 and static scenarios: given information about a user’s past item preferences in isolation, can we predict whether they will like a new item or rank all unseen items based on predicted interest? In reality, recommendation is often a more complex problem: the evaluation of a list of recommended items never takes place in a vacuum, and it is often a single step in the user’s more complex background task or need. The goal of the ComplexRec 2018 workshop is to offer an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

KW - Recommendation Algorithms

KW - Ratings Prediction

KW - Item Ranking

KW - Complex User Scenarios

KW - Context-Aware Recommendations

KW - Recommendation Algorithms

KW - Ratings Prediction

KW - Item Ranking

KW - Complex User Scenarios

KW - Context-Aware Recommendations

M3 - Anthology

BT - ComplexRec 2018

Y2 - 7 October 2018 through 7 October 2018

ER -

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

Abstract

Workshop

Keywords

Access to Document

Fingerprint

Research output

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

Cite this