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A Content Recommendation Policy for Gaining Subscribers:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Theocharidis, Konstantinos
;
Terrovitis, Manolis
;
Skiadopoulos, Spiros
. - p. 2501-2506 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3531885
RT T1 <cTitle>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>A Content Recommendation Policy for Gaining Subscribers</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3531885&Exemplar=1&LAN=DE A1 Theocharidis, Konstantinos A1 Terrovitis, Manolis A1 Skiadopoulos, Spiros A1 Karras, Panagiotis PB ACM YR 2022 K1 content recommendation K1 messaging K1 ranking K1 subscription gain K1 Information systems K1 World Wide Web K1 Web applications K1 Social networks K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Internet communications tools K1 Texting K1 Web searching and information discovery K1 Content ranking K1 Online advertising K1 Content match advertising SP 2501 OP 2506 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3531885 DO https://dl.acm.org/doi/10.1145/3477495.3531885 SF ELIB - SuUB Bremen
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