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 merchandise recommendation


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

Yuan, Ted Tao, Zhang, Zezhong

arXiv.org Artificial Intelligence

We rank all we rely on item retrieval from marketplace inventory. With retrieved items by the sum of tf-idf scores from matched words, feedback to expand query scope, we discuss keyword expansion and keep the items with total tf-idf scores above a threshold. The candidate selection using word embedding similarity, and an retrieval based system works well to discover relevant enhanced tf-idf formula for expanded words in search ranking.