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Real-time Personalization using Embeddings for Search Ranking at Airbnb.
KDD, pp.311-320, (2018)
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Abstract
Search Ranking and Recommendations are fundamental problems of crucial interest to major Internet companies, including web search engines, content publishing websites and marketplaces. However, despite sharing some common characteristics a one-size-fits-all solution does not exist in this space. Given a large difference in content that ne...More
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- Next, we calculate the mean vector using 3 embeddings of identified listings to form the new listing embedding. Using this technique we are able to cover more than 98% of new listings
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