Item Relevance Score Prediction Task
(Redirected from Relevance Scoring)
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An Item Relevance Score Prediction Task is an predictive scoring task that predicts item relevance scores (based on some item relevance measure).
- Context:
- Task Output: Item Relevance Score.
- It can (often) support an Relevant Item Recommendation Task.
- It can range from being a Personalized Item Relevance Score Prediction Task to being a Population-level Intem Relevance Score Prediction Task.
- Example(s):
- predict the five through one relevance rank of movie X for user U.
- …
- Counter-Example(s):
- See: Relevance Ranking, Item Recommendations Task, User Engagement Measure.