Information Foraging on Social Media Using Elephant Herding Optimization
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-72651-5_30
Reference15 articles.
1. We Are Social, Digital 2020 reports. (2020). https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media
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3. Niu, X., Fan, X.: Deep learning of human information foraging behavior with a search engine. In: International Conference on Theory of Information Retrieval, Santa Clara, CA, USA, pp. 185–192. ACM (2019). https://doi.org/10.1145/3341981.3344231
4. Drias, Y., Kechid, S.: Dynamic Web information foraging using self-interested agents. In: Recent Advances in Information Systems and Technologies - WorldCIST 2017, vol. 569, pp. 405-415. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56535-4_41
5. Nguyen, V., Rabby, G., Svátek, V., Corcho, O.: Ontologies supporting research-related information foraging using knowledge graphs: literature survey and holistic model mapping. In: Knowledge Engineering and Knowledge Management: 22nd International Conference, EKAW, Bolzano, Italy. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61244-3_6
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