Enhancing cultural recommendations through social and linked open data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Education
Link
http://link.springer.com/content/pdf/10.1007/s11257-019-09225-8.pdf
Reference66 articles.
1. Albanese, M., d’Acierno, A., Moscato, V., Persia, F., Picariello, A.: A multimedia semantic recommender system for cultural heritage applications. In: Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing, pp. 403–410. IEEE Computer Society, Washington, DC, ICSC ’11 (2011)
2. Antoniou, G., Groth, P., Harmelen, F.V.V., Hoekstra, R.: A Semantic Web Primer. The MIT Press, London (2012)
3. Ardissono, L., Kuflik, T., Petrelli, D.: Personalization in cultural heritage: the road travelled and the one ahead. User Model User Adapt. Interact. 22(1–2), 73–99 (2012)
4. Arru, G., Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Signal-based user recommendation on Twitter. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 941–944. ACM, New York, WWW ’13 Companion (2013) https://doi.org/10.1145/2487788.2488088
5. Baraglia, R., Muntean, C.I., Nardini, F.M., Silvestri, F.: Learnext: learning to predict tourists movements. In: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, pp. 751–756. ACM, New York, CIKM ’13 (2013) https://doi.org/10.1145/2505515.2505656
Cited by 47 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
1. Behavior Based Group Recommendation from Social Media Dataset by Using Deep Learning and Topic Modeling;SN Computer Science;2024-07-16
2. Artwork Segmentation in Eye-Tracking Experiments: Challenges and Future Directions;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
3. User Experience with ChatGPT: Insights from a Comprehensive Evaluation;Communications in Computer and Information Science;2024
4. Application of light sensor localization based on deep learning algorithm in tourist path recommendation in cultural scenic spots;Optical and Quantum Electronics;2023-12-27
5. Developing a Knowledge Organization System for Ethnic Groups in Lao PDR through Linked Open Data Techniques;Journal of the Australian Library and Information Association;2023-11-16
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3