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

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Aug 18, 2022
Ted Tao Yuan, Zezhong Zhang
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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.

* Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR '18), July 8--12, 2018, Ann Arbor, MI, USA  * The work is oral presented on the SIGIR Symposium on IR in Practice (SIRIP) 2018  
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