Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management Virtual Event Ireland October, 2020, pp. 2821-2828, 2020.
EI
摘要：
Many recent advances in neural information retrieval models, which predict top-K items given a query, learn directly from a large training set of (query, item) pairs. However, they are often insufficient when there are many previously unseen (query, item) combinations, often referred to as the cold start problem. Furthermore, the search s...更多
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