论文标题
零售事件的商品建议，带有嵌入加权的TF-IDF和动态查询扩展
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion
论文作者
论文摘要
为了推荐有关季节性零售活动的相关商品，我们依靠市场清单中的项目检索。有了以扩展查询范围的反馈，我们使用单词嵌入相似性讨论关键字扩展候选候选选择，以及增强的tf-idf公式，用于搜索排名中的扩展单词。
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.
