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Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion
August 18, 2022 Β· Declared Dead Β· π Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
"No code URL or promise found in abstract"
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Authors
Ted Tao Yuan, Zezhong Zhang
arXiv ID
2208.08581
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG
Citations
7
Venue
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Last Checked
4 months ago
Abstract
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.
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