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Co-authored-by: Mikayla <mikayla@zed.dev> |
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README.md |
Semantic Index
Evaluation
Metrics
nDCG@k:
- "The value of NDCG is determined by comparing the relevance of the items returned by the search engine to the relevance of the item that a hypothetical "ideal" search engine would return.
- "The relevance of result is represented by a score (also known as a 'grade') that is assigned to the search query. The scores of these results are then discounted based on their position in the search results -- did they get recommended first or last?"
MRR@k:
- "Mean reciprocal rank quantifies the rank of the first relevant item found in teh recommendation list."
MAP@k:
- "Mean average precision averages the precision@k metric at each relevant item position in the recommendation list.
Resources: