Abstract
With the development of big data technology, user profile, as an effective method for delineating user characteristics, has attracted extensive attention from researchers and practitioners. Rich related literatures have been accumulated. How to find the key factors and the new direction from such a big library is a difficult problem for a new researcher entering the field. The knowledge map can be used to visualize the development trend, the frontier field and the overall knowledge structure from these researches. Therefore, we choose web of science database as the literature search engine and use CiteSpace to construct the user profile knowledge map. Through these maps, we analyze the important authors and countries, make the common word analysis and co-citation analysis, study the hot spots and important literatures. The time distribution shows that some foundational theories in user profile were produced at the second stage from 2004 to 2013. What’s more, from the geographical distribution, we find that user profile, as an abstract concept, has no unified framework. Each country focuses on the different research points. From the knowledge map of keywords, we find that the top three algorithmic techniques used in constructing user profile are clustering, classification, and collaborative filtering. At the same time, user profile is also used in some specific applications, such as anomaly detection, behavior analysis, and information retrieval.
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Chen, C.L.P., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275(11), 314–347 (2014)
Liu, W., Liu, J., Shi, C., et al.: User network profile of behavior. Publishing House of Electronics Industry, Beijing (2016)
Zhu, H., Chen, E., Xiong, H., et al.: Mining mobile user preferences for personalized context-aware recommendation. ACM Trans. Intell. Syst. Technol. 5(4), 1–27 (2014)
Marquardt, J., Farnadi, G., Vasudevan, G., et al.: Age and gender identification in social media. In: Proceedings of CLEF 2014 Evaluation Labs, pp. 1129–1136 (2014)
Mueller, J., Stumme, G.: Gender inference using statistical name characteristics in Twitter. In: MISNC, SI, DS (2016)
Chen, Y., Chen, C.M., Liu, Z.Y., et al.: The methodology function of cite space mapping knowledge domains. Stud. Sci. Sci. 33, 242–253 (2015)
Mayr, P., Scharnhorst, A.: Scientometrics and information retrieval: weak-links revitalized. Scientometrics 102(3), 2193–2199 (2014)
Chen, C.: CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature. Wiley, Hoboken (2006)
Cui, Y., Mou, J., Liu, Y.: Knowledge mapping of social commerce research: a visual analysis using CiteSpace. Electron. Commer. Res. 18, 837 (2018)
Pazzani, M., Billsus, D.: Learning and Revising User Profiles: The Identification of Interesting Web Sites. Kluwer Academic Publishers, Dordrecht (1997)
Degemmis, M., Lops, P., Semeraro, G.: A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation. User Model. User-Adap. Inter. 17(3), 217–255 (2007)
Maleszka, M., Mianowska, B., Nguyen, N.T.: A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles. Knowl.-Based Syst. 47(3), 1–13 (2013)
Chen, Y., Chen, C., Hu, Z.: Principles and Applications of Analyzing a Citation Space. Science Press, Beijing (2014)
Hu, Z., Chen, C., Liu, Z.: The recurrence of citations within a scientific article. In: The International Society of Scientometrics and Informetrics Conference, 29 June–July 2015
Middleton, S.E., Shadbolt, N.R., Roure, D.C.D.: Ontological user profiling in recommender systems. ACM Trans. Inf. Syst. 22(1), 54–88 (2004)
Mislove, A., Viswanath, B., Gummadi, K.P., et al.: You are who you know: inferring user profiles in online social networks. In: DBLP, pp. 251–260 (2010)
Xu, S., Bao, S., Fei, B., et al.: Exploring folksonomy for personalized search. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, 20–24 July 2008, pp. 155–162 (2008)
Acknowledgments
This work was supported by Science and Technology Program of Guangzhou, China (No. 201707010495), Foundation for Distinguished Young Talents in Higher Education of Guangzhou, China (No. 2013LYM0032), Project supported by Guangdong Province Universities, China (No. 2015KTSCX046), and Foundation for Technology Innovation in Higher Education of Guangdong Province, China (No. 2013KJCX0085).
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Pan, D., Yin, H., Wang, Y., Wang, Z., Hu, Z. (2018). The Knowledge Map Analysis of User Profile Research Based on CiteSpace. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2018. Lecture Notes in Computer Science(), vol 11344. Springer, Cham. https://doi.org/10.1007/978-3-030-05755-8_31
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DOI: https://doi.org/10.1007/978-3-030-05755-8_31
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