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2019 | OriginalPaper | Chapter

Document Recommendation Based on Interests of Co-authors for Brain Science

Authors : Han Zhong, Zhisheng Huang

Published in: Health Information Science

Publisher: Springer International Publishing

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Abstract

Personalized knowledge recommendation is an effective measure to provide individual information services in the field of brain science. It is essential that a complete understanding of authors’ interests and accurate recommendation are carried out to achieve this goal. In this paper, a collaborative recommendation method based on co-authorship is proposed to make. In our approach, analysis of collaborators’ interests and the calculation of collaborative value are used for recommendations. Finally, the experiments using real documents associated with brain science are given and provide supports for collaborative document recommendation in the field of brain science.

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Literature
1.
go back to reference Lane, R.D., Ryan, L.: Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science. Behav. Brain Sci. 38, 1–64 (2015)CrossRef Lane, R.D., Ryan, L.: Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science. Behav. Brain Sci. 38, 1–64 (2015)CrossRef
2.
go back to reference Ryan, P.B., Bridge, D.: Collaborative recommending using formal concept analysis. Knowl. Based Syst. 19(5), 309–315 (2006)CrossRef Ryan, P.B., Bridge, D.: Collaborative recommending using formal concept analysis. Knowl. Based Syst. 19(5), 309–315 (2006)CrossRef
3.
go back to reference Sarwa, B.S., Karypis, G., Konstan, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, pp. 285–295. ACM, New York (2001) Sarwa, B.S., Karypis, G., Konstan, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, pp. 285–295. ACM, New York (2001)
4.
go back to reference Ma, H., Zhou, D., Liu, C., et al.: Recommender systems with social regularization. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, Hong Kong, China, pp. 287–296 (2011) Ma, H., Zhou, D., Liu, C., et al.: Recommender systems with social regularization. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, Hong Kong, China, pp. 287–296 (2011)
5.
go back to reference Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)CrossRef Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)CrossRef
6.
go back to reference Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web: a new form of web content that is meaningful to computers will unleash a revolution of new possibilities. Sci. Am. 284(5), 34–43 (2001)CrossRef Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web: a new form of web content that is meaningful to computers will unleash a revolution of new possibilities. Sci. Am. 284(5), 34–43 (2001)CrossRef
7.
go back to reference Fensel, D., van Harmelen, F.: Unifying reasoning and search to web scale. IEEE Internet Comput. 11(2), 94–95 (2007)CrossRef Fensel, D., van Harmelen, F.: Unifying reasoning and search to web scale. IEEE Internet Comput. 11(2), 94–95 (2007)CrossRef
8.
go back to reference Dan, B., Guha, R.V, Brian, M.: RDF Vocabulary Description Language 1.0: RDF Schema, W3C Recommendation, 10 February, 2004 Dan, B., Guha, R.V, Brian, M.: RDF Vocabulary Description Language 1.0: RDF Schema, W3C Recommendation, 10 February, 2004
9.
go back to reference Hao, C., Yubo, J., Chengwei, H.: Research of collaborative filtering recommendation based on user trust model. Comput. Eng. Appl. 46(35), 148–151 (2010) Hao, C., Yubo, J., Chengwei, H.: Research of collaborative filtering recommendation based on user trust model. Comput. Eng. Appl. 46(35), 148–151 (2010)
10.
go back to reference Guo, L., Ma, J., Chen, Z., Jiang, H.: Incorporating item relations for social recommendation. Chin. J. Comput. 37(1), 219–228 (2014) Guo, L., Ma, J., Chen, Z., Jiang, H.: Incorporating item relations for social recommendation. Chin. J. Comput. 37(1), 219–228 (2014)
11.
go back to reference Chen, J., Zhang, H., He, X., Nie, L., Liu, W., Chua, T.-S.: Attentive collaborative filtering: multimedia recommendation with item- and component-level attention. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–344. ACM, New York (2017) Chen, J., Zhang, H., He, X., Nie, L., Liu, W., Chua, T.-S.: Attentive collaborative filtering: multimedia recommendation with item- and component-level attention. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–344. ACM, New York (2017)
12.
go back to reference Jiang, S., Qian, X., Shen, J., Yun, F., Mei, T.: Author topic model-based collaborative filtering for personalized POI recommendations. IEEE Trans. Multimedia 17(6), 907–918 (2015) Jiang, S., Qian, X., Shen, J., Yun, F., Mei, T.: Author topic model-based collaborative filtering for personalized POI recommendations. IEEE Trans. Multimedia 17(6), 907–918 (2015)
13.
go back to reference Efthymiou, K., Sipsas, K., Mourtzis, D.: On knowledge reuse for manufacturing systems design and planning: a semantic technology approach. CIRP J. Manuf. Sci. Technol. 8, 1–11 (2014)CrossRef Efthymiou, K., Sipsas, K., Mourtzis, D.: On knowledge reuse for manufacturing systems design and planning: a semantic technology approach. CIRP J. Manuf. Sci. Technol. 8, 1–11 (2014)CrossRef
14.
go back to reference Zeng, Y., Zhong, N., Wang, Y., Qin, Y.L., Huang, Z.S., Zhou, H.Y.: User-centric query refinement and processing using granularity based strategies. Knowl. Inf. Syst. 27(3), 419–450 (2010)CrossRef Zeng, Y., Zhong, N., Wang, Y., Qin, Y.L., Huang, Z.S., Zhou, H.Y.: User-centric query refinement and processing using granularity based strategies. Knowl. Inf. Syst. 27(3), 419–450 (2010)CrossRef
15.
go back to reference Zeng, Y., Zhou, E.Z., Qin, Y.L. Zhong, N.: Research interests: their dynamics, structures and applications in web search refinement. In: Proceeding of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 639–646. IEEE Computer Society, Washington, DC, USA (2010) Zeng, Y., Zhou, E.Z., Qin, Y.L. Zhong, N.: Research interests: their dynamics, structures and applications in web search refinement. In: Proceeding of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 639–646. IEEE Computer Society, Washington, DC, USA (2010)
16.
go back to reference Zhang, J., Tao, X., Wang, H.: Outlier detection from large distributed databases. World Wide Web 17(4), 539–568 (2014)CrossRef Zhang, J., Tao, X., Wang, H.: Outlier detection from large distributed databases. World Wide Web 17(4), 539–568 (2014)CrossRef
17.
go back to reference Li, H., Wang, Y., Wang, H., Zhou, B.: Multi-window based ensemble learning for classification of imbalanced streaming data. World Wide Web 20(6), 1507–1525 (2017)CrossRef Li, H., Wang, Y., Wang, H., Zhou, B.: Multi-window based ensemble learning for classification of imbalanced streaming data. World Wide Web 20(6), 1507–1525 (2017)CrossRef
18.
go back to reference Khalil, F., Wang, H., Li, J.: Integrating Markov model with clustering for predicting web page accesses. In: Proceeding of the 13th Australasian World Wide Web Conference (AusWeb 2007), pp. 63–74 (2007) Khalil, F., Wang, H., Li, J.: Integrating Markov model with clustering for predicting web page accesses. In: Proceeding of the 13th Australasian World Wide Web Conference (AusWeb 2007), pp. 63–74 (2007)
19.
go back to reference Khalil, F., Li, J., Wang, H.: An integrated model for next page access prediction. Int. J. Knowl. Web Intell. 1(1), 48–80 (2009)CrossRef Khalil, F., Li, J., Wang, H.: An integrated model for next page access prediction. Int. J. Knowl. Web Intell. 1(1), 48–80 (2009)CrossRef
20.
go back to reference Ma, J., Sun, L., Wang, H., Zhang, Y., Aickelin, U.: Supervised anomaly detection in uncertain pseudoperiodic data streams. ACM Trans. Internet Technol. (TOIT) 16(1), 4–15 (2016)CrossRef Ma, J., Sun, L., Wang, H., Zhang, Y., Aickelin, U.: Supervised anomaly detection in uncertain pseudoperiodic data streams. ACM Trans. Internet Technol. (TOIT) 16(1), 4–15 (2016)CrossRef
21.
go back to reference Peng, M., Zeng, G., Sun, Z., Huang, J., Wang, H., Tian, G.: Personalized app recommendation based on app permissions. World Wide Web 21(1), 89–104 (2018)CrossRef Peng, M., Zeng, G., Sun, Z., Huang, J., Wang, H., Tian, G.: Personalized app recommendation based on app permissions. World Wide Web 21(1), 89–104 (2018)CrossRef
Metadata
Title
Document Recommendation Based on Interests of Co-authors for Brain Science
Authors
Han Zhong
Zhisheng Huang
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-32962-4_11

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