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With the rapid development of recommender systems, accuracy is no longer the only golden criterion for evaluating whether the recommendation results are satisfying or not.
The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell and Jade Goldstein · 1998
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Improving recommendation diversity
Keith Bradley and Barry Smyth · 2001
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Improving recommendation lists through topic diversification
Cai-Nicolas Ziegler, Sean M McNee, Joseph A Konstan, and Georg Lausen · 2005
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Avoiding monotony: improving the diversity of recommendation lists
Mi Zhang and Neil Hurley · 2008
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An axiomatic approach for result diversification
Sreenivas Gollapudi and Aneesh Sharma · 2009
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Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, and Chris Volinsky · 2009
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Bpr: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
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It takes variety to make a world: diversification in recommender systems
Cong Yu, Laks Lakshmanan, and Sihem Amer-Yahia · 2009
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Research commentary—long tails vs. superstars: The effect of information technology on product variety and sales concentration patterns
Erik Brynjolfsson, Yu Hu, and Michael D Smith · 2010
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Search result diversification
Marina Drosou and Evaggelia Pitoura · 2010
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Temporal diversity in recommender systems
Neal Lathia, Stephen Hailes, Licia Capra, and Xavier Amatriain · 2010
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Maximizing aggregate recommendation diversity: A graph-theoretic approach
Gediminas Adomavicius and YoungOk Kwon · 2011
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Diversification and refinement in collaborative filtering recommender
Rubi Boim, Tova Milo, and Slava Novgorodov · 2011
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Search result diversity for informational queries
Michael J Welch, Junghoo Cho, and Christopher Olston · 2011
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Improving aggregate recommendation diversity using ranking-based techniques
Gediminas Adomavicius and YoungOk Kwon · 2012
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Recommendation networks and the long tail of electronic commerce
Gal Oestreicher-Singer and Arun Sundararajan · 2012
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Preference based evaluation measures for novelty and diversity
Praveen Chandar and Ben Carterette · 2013
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Promoting diversity in recommendation by entropy regularizer
Lijing Qin and Xiaoyan Zhu · 2013
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Curiosity: From psychology to computation
Qiong Wu and Chunyan Miao · 2013
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Expectation-maximization for learning determinantal point processes
Jennifer A Gillenwater, Alex Kulesza, Emily Fox, and Ben Taskar · 2014
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Personalized search result diversification via structured learning
Shangsong Liang, Zhaochun Ren, and Maarten De Rijke · 2014
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Contextual combinatorial bandit and its application on diversified online recommendation
Lijing Qin, Shouyuan Chen, and Xiaoyan Zhu · 2014
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Relevance meets coverage: A unified framework to generate diversified recommendations
Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, and Xing Xie · 2016
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A social curiosity inspired recommendation model to improve precision, coverage and diversity
Qiong Wu, Siyuan Liu, Chunyan Miao, Yuan Liu, and Cyril Leung · 2016
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Learning to recommend accurate and diverse items
Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, and Hui Xiong · 2017
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Low-rank factorization of determinantal point processes for recommendation
Mike Gartrell, Ulrich Paquet, and Noam Koenigstein · 2017
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A survey on recommendation methods beyond accuracy
Jungkyu Han and Hayato Yamana · 2017
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Diversity in recommender systems–a survey
Matevž Kunaver and Tomaž Požrl · 2017
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Coverage, redundancy and size-awareness in genre diversity for recommender systems
Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, and Pablo Castells · 2014
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Learning for search result diversification
Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, and Shuzi Niu · 2014
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Optimal greedy diversity for recommendation
Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, and Zheng Wen · 2015
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Fixed-point algorithms for learning determinantal point processes
Zelda Mariet and Suvrit Sra · 2015
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Search result diversification
Rodrygo LT Santos, Craig Macdonald, Iadh Ounis, et al · 2015
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A survey of diversification techniques in recommendation systems
Jayeeta Chakraborty and Vijay Verma · 2016
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Learning to diversify recommendations based on matrix factorization
Shuang Li, Yuezhi Zhou, Di Zhang, Yaoxue Zhang, and Xiang Lan · 2017
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Biucb: A contextual bandit algorithm for cold-start and diversified recommendation
Lu Wang, Chengyu Wang, Keqiang Wang, and Xiaofeng He · 2017
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Adapting markov decision process for search result diversification
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng · 2017
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Directly optimize diversity evaluation measures: a new approach to search result diversification
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng · 2017
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Fast greedy map inference for determinantal point process to improve recommendation diversity
Laming Chen, Guoxin Zhang, and Eric Zhou · 2018
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Practical diversified recommendations on youtube with determinantal point processes
Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H Chi, and Jennifer Gillenwater · 2018
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Explainable recommendation: A survey and new perspectives
Yongfeng Zhang and Xu Chen · 2018
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Deep reinforcement learning for page-wise recommendations
Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, and Jiliang Tang · 2018
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Drn: A deep reinforcement learning framework for news recommendation
Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, and Zhenhui Li · 2018
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