Personalized Search by a Multi-type and Multi-level User Profile in Folksonomy

Author:

Gou ZhinanORCID,Han Lixin,Zhu Jun,Yang Yi,Duan Baobin

Funder

Research & Practice Innovation Program of Jiangsu Province of China

The Fundamental Research Funds for the Central Universities

Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) of China

Natural Science Foundation of the Colleges and Universities in Jiangsu Province of China

Natural Science Foundation of the Colleges and Universities in Anhui Province of China

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference43 articles.

1. Matthijs, N.; Radlinski, F.: Personalizing Web Search using Long Term Browsing History. In: Proceedings of the 4th International Conference on Web Search and Web Data Mining, pp. 25–34. ACM Press, Hong Kong, China (2011)

2. Bin, T.; Xue, S.; Cheng, Z.: Mining long-term search history to improve search accuracy. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 718–723. ACM Press, Philadelphia, USA (2006)

3. Vallet, D.; Cantador, I.; Jose, J.M.: Personalizing web search with folksonomy-based user and document profiles. In: Proceedings of the 32nd European conference on Advances in Information Retrieval, pp. 420–431. ACM Press, Milton Keynes, UK (2010)

4. Xie, H.; Li, X.; Wang, T.; Lau, R.Y.K.; Wong, T.; Chen, L.; Wang, F.L.; Li, Q.: Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52, 61–72 (2016)

5. Abel, F.; Baldoni, M.; Baroglio, C.; Henze, N.; Kawase, R.; Krause, D.; Patti, V.: Leveraging search and content exploration by exploiting context in folksonomy systems. New Rev. Hypermed. Multimed. 16(1), 33–70 (2010)

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