Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &Amp; Data Mining 2020
DOI: 10.1145/3394486.3403345
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Managing Diversity in Airbnb Search

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Cited by 18 publications
(13 citation statements)
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“…DESA [Qin et al, 2020] explores to leverage item dependencies in terms of both relevance and diversity, which is composed of an encoder and a decoder with the self-attention to extract item and subtopic correlations. Abdool et al [2020] investigate the potential of deploying a diversity-aware re-ranking to Airbnb search. They design a metric for measuring the distance between two lists and use an LSTM structure to generate the re-ranking list.…”
Section: Diversity-aware Re-rankingmentioning
confidence: 99%
“…DESA [Qin et al, 2020] explores to leverage item dependencies in terms of both relevance and diversity, which is composed of an encoder and a decoder with the self-attention to extract item and subtopic correlations. Abdool et al [2020] investigate the potential of deploying a diversity-aware re-ranking to Airbnb search. They design a metric for measuring the distance between two lists and use an LSTM structure to generate the re-ranking list.…”
Section: Diversity-aware Re-rankingmentioning
confidence: 99%
“…Aggregation considers the diversity across all users, where the goal is usually to promote the coverage of the recommender [14,15]. On the other hand, individual, also the one we study in this work, focuses on the diversity for a given user, where we usually want to achieve the best trade-off between quality and diversity [1,2,8,37]. Under the individual perspective, diversified recommendation is usually formulated by an optimization problem with an objective considering both quality and diversity.…”
Section: Related Work 21 Diversified Recommendationmentioning
confidence: 99%
“…The authors showed good results on the MovieLens database, doubling the long-tail coverage and being within 1% of NDCG@10 of other existing approaches. Though not aimed at position bias, Airbnb developed a novel deep learning approach that leverages Recurrent Neural Networks for diversification (Abdool et al 2020).…”
Section: Recommendation Systems For Online Travelmentioning
confidence: 99%