DAWAR

Author:

Gong Wenwen1,Zhang Xuyun2,Chen Yifei1,He Qiang3,Beheshti Amin2,Xu Xiaolong4,Yan Chao5,Qi Lianyong6

Affiliation:

1. China Agricultural University, Beijing, China

2. Macquarie University, Sydney, NSW, Australia

3. Swinburne University of Technology, Melbourne, VIC, Australia

4. Nanjing University of Information Science and Technology, Nanjing, China

5. Qufu Normal University, Rizhao, China

6. Qufu Normal University & Nanjing University, Rizhao, China

Funder

the ARC DECRA

the National Natural Science Foundation of China

the Open Project of State Key Laboratory for Novel Software Technology

the Natural Science Foundation of Shandong Province

Publisher

ACM

Reference50 articles.

1. A Bayesian learning model for design-phase service mashup popularity prediction

2. M Brian Blake and Michael E Nowlan . 2010 . Knowledge discovery in services (KDS): Aggregating software services to discover enterprise mashups . TKDE'10 23 , 6 (2010), 889--901. M Brian Blake and Michael E Nowlan. 2010. Knowledge discovery in services (KDS): Aggregating software services to discover enterprise mashups. TKDE'10 23, 6 (2010), 889--901.

3. Alexei Borodin . 2009. Determinantal point processes. arXiv preprint arXiv:0911.1153 ( 2009 ). Alexei Borodin. 2009. Determinantal point processes. arXiv preprint arXiv:0911.1153 (2009).

4. Allan Borodin , Aadhar Jain , Hyun Chul Lee, and Yuli Ye . 2017 . Max-sum diversi- fication, monotone submodular functions, and dynamic updates. TALG '17 13, 3 (2017), 1--25. Allan Borodin, Aadhar Jain, Hyun Chul Lee, and Yuli Ye. 2017. Max-sum diversi- fication, monotone submodular functions, and dynamic updates. TALG'17 13, 3 (2017), 1--25.

5. J. Carbonell and J Goldstein . 1998 . The Use of MMR , Diversity-Based Reranking for Reordering Dosuments and Producing SUmmaries. In SIGIR'98 , 335--336. J. Carbonell and J Goldstein. 1998. The Use of MMR, Diversity-Based Reranking for Reordering Dosuments and Producing SUmmaries. In SIGIR'98, 335--336.

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