mlsanityData to 14 Oct 2026

Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion

arXiv 2208.08581 ↗First posted 18 Aug 2022cs.IR cs.LGcited by 0

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Abstract (arXiv)

To recommend relevant merchandises for seasonal retail events, we rely on item retrieval from marketplace inventory. With feedback to expand query scope, we discuss keyword expansion candidate selection using word embedding similarity, and an enhanced tf-idf formula for expanded words in search ranking.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 18 Aug 2022.

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References · 2

  1. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  2. 2016Representation learning for very short texts using weighted word embedding aggregationcited by 12

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