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Product Search

Reproduction

Note

The original code has been refactored to be more concise and clean. As a result, the product search results could be slightly different from the numbers in our paper.

# First generate dense query/item representations and cache them
python generate_emb.py --plm_name hyp1231/blair-roberta-base --feat_name blair-base
# Then evaluate the product search performance
python eval_search.py --suffix blair-baseCLS --domain

Arguments

  • --plm_name
    • roberta-base
    • roberta-large
    • princeton-nlp/sup-simcse-roberta-base
    • princeton-nlp/sup-simcse-roberta-large
    • hyp1231/blair-roberta-base
    • hyp1231/blair-roberta-large

Note

Please update feat_name and --suffix accordingly.