Name
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.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3240323.3240332 | RecSys '18: Twelfth ACM Conference on Recommender Systems
Vancouver
British Columbia
Canada
October, 2018 |
Keywords | DocType | ISBN |
Complex recommendation, task-based recommendation, feature-driven recommendation, constraint-based recommendation, query-driven recommendation, context-aware recommendation | Conference | 978-1-4503-5901-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toine Bogers | 1 | 370 | 35.89 |
| Marijn Koolen | 2 | 348 | 45.15 |
| Bamshad Mobasher | 3 | 5354 | 438.74 |
| Alan Said | 4 | 334 | 37.52 |
| Casper Petersen | 5 | 3 | 1.75 |