Author:
Chacko Anna Mariam,Pranav Bhuvanapalli Aditya,Madhvesh Bommanapalli Vijaya,Poornima A. S.
Reference12 articles.
1. Popov A, Iakovleva D (2018) Adaptive look-alike targeting in social networks advertising. Procedia Comput Sci 136:255–264
2. deWet S, Ou J (2019) Finding users who act alike: transfer learning for expanding advertiser audiences. In: KDD ‘19: proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining, pp 2251–2259
3. Jiang J, Lin X, Yao J, Lu H (2019) Comprehensive audience expansion based on end-to-end neural prediction, special interest group on information retrieval eCom. France, Paris
4. Zhang W, Chen L, Wang J (2016) Implicit look-alike modelling in display ads. In: European conference on information retrieval. Springer, pp 589–601
5. Cotta R, Hu M, Jiang D, Liao P (2019) Off-policy evaluation of probabilistic identity data in lookalike modeling. In: Proceedings of the twelfth ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM ’19). Association for Computing Machinery, New York, NY, USA, pp 483–491
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献