Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019)

Marijn Koolen, Bamshad Mobasher, Toine Bogers, Alexander Tuzhilin

Publikation: Artikel i tidsskrift og konference artikel i tidsskriftKonferenceartikelForskning

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 2019 workshop is to offer an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

OriginalsprogEngelsk
TidsskriftCEUR Workshop Proceedings
Vol/bind2449
Sider (fra-til)1-3
Antal sider3
ISSN1613-0073
StatusUdgivet - 1 jan. 2019
Udgivet eksterntJa
BegivenhedComplexRec 2019: Third Workshop on Recommendation in Complex Scenarios - Scandic Falkoner, Copenhagen, Danmark
Varighed: 20 sep. 2019 → …

Workshop

WorkshopComplexRec 2019: Third Workshop on Recommendation in Complex Scenarios
LokationScandic Falkoner
Land/OmrådeDanmark
ByCopenhagen
Periode20/09/2019 → …

Emneord

  • Recommendation Algorithms
  • Ratings Prediction
  • Item Ranking
  • Complex Scenarios
  • User Preferences

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