Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
problem
|
| gptkbp:appliesTo |
new items
new users new systems |
| gptkbp:commonIn |
online recommendation systems
personalization systems |
| gptkbp:describes |
The cold start problem refers to the challenge of making accurate recommendations or predictions when there is insufficient data about users or items.
|
| gptkbp:field |
gptkb:machine_learning
information retrieval recommender systems |
| gptkbp:firstDescribed |
1990s
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cold Start Problem
|
| gptkbp:relatedTo |
collaborative filtering
data sparsity |
| gptkbp:solvedBy |
content-based filtering
hybrid recommendation systems asking users for initial preferences |
| gptkbp:bfsParent |
gptkb:Recommender_Systems
|
| gptkbp:bfsLayer |
7
|