Author:
Logesh R.,Subramaniyaswamy V.,Vijayakumar V.,Gao Xiao-Zhi,Wang Gai-Ge
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference146 articles.
1. Abbassi Z, Amer-Yahia S, Lakshmanan LV, Vassilvitskii S, Yu C (2009) Getting recommender systems to think outside the box. In: Proceedings of the third ACM conference on recommender systems. ACM, pp 285–288
2. Abbassi Z, Mirrokni VS, Thakur M (2013) Diversity maximization under matroid constraints. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 32–40
3. Adamopoulos P, Tuzhilin A (2015) On unexpectedness in recommender systems: or how to better expect the unexpected. ACM Trans Intell Syst Technol (TIST) 5(4):54
4. Adomavicius G, Kwon Y (2011) Maximizing aggregate recommendation diversity: a graph-theoretic approach. In: Proceedings of the 1st international workshop on novelty and diversity in recommender systems (DiveRS 2011), pp 3–10
5. Adomavicius G, Kwon Y (2012) Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans Knowl Data Eng 24(5):896–911
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