Rule Based Tag Recommendation for Images
Keywords:
Tag Recommendation, Generalized Association Rule Mining, Rule-Based Systems.Abstract
Tag recommendation is focused on recommending useful tags to a user who is searching for images. The recommendation of additional tags to partially annotated resources, which may be based on either personalized or collective knowledge. Analyzed tag collection can be stored in different abstraction level by applying GenIO (Generalized input-output) algorithm in generalized association rule mining for it. An association between two levels can be found in Wordnet lexical database. Tag selection and Ranking algorithm assign the desirable tags to the image. In rule-based tag recommendations use of generalization that improves performance significantly.
References
- L. Cagliero, A. Fiori and Grimaud, "Personalized tag recommendation based on generalized rules," ACM Transactions on Intelligent Systems and Technology, vol. 5, pp. 15-31, 2013.
- Y. Toshihiko, Hu Jiani, S. Shumpei, "FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity," Twenty-Sixth International Joint Conference on Artificial Intelligence, pp. 231-237, 2017.
- R. Jaschke, L. Marinho, A. Hotho, "Tag Recommendations in Folksonomies," European Conference on Principles of Data Mining and Knowledge Discovery, pp. 506-514, 2006.
- T. H. Hanh, W. Martin, "Personalized Tag Recommendation for Images Using Deep Transfer Learning," University of Hildesheim, Universit atsplatz, Hildesheim, Germany, 2014
- R. Agarwal, T. Imielinski, "Mining association rules between sets of items in large databases," ACM SIGMOD international, conference on Management of data, pp. 207-216 , 1993.
- S. Bao, G. Xue, "Optimizing web search using social annotations," 16th International Conference on World Wide Web (WWW07), New York, pp. 501510, 2007.
- E. Barali, L. Cagliero, T. Cerquitell, "Support driven opportunistic aggregation for generalized item set extraction," IEEE Conference of Intelligent Systems IEEE, Los Alamitos, pp. 102107, 2010.
- S. Brin and L. Page, "The anatomy of a large-scale hyper textual web search engine," 7th International Conference on World Wide Web (WWW98), pp. 107117, 1998.
- P. A. Chitra, S. Costache, W. Nejdl, "P-tag: Large scale automatic generation of personalized annotation tags for the web," 16th International Conference on World Wide Web (WWW07), New York, pp. 845854, 2007.
- R. Datta, J. Wang, "Toward bridging the annotation-retrieval gap in image search," IEEE Multimedia vol. 14, pp. 2435, 2007.
- P. A. Dmitriev, N. Eiron, M. Fontoura and E. Shekita, "Using annotations in enterprise search," 15th International Conference on World Wide Web (WWW06), pp. 811817, 2006.
- A. Wesley, N. Garg and I. Weber," Personalized, interactive tag recommendation for Flickr," ACM Conference on Recommender Systems, pp. 6774, 2006.
- C. Chen and C. Wang, "Personalized tag recommendation using graph based ranking on multi-type interrelated objects," 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval , New York, pp. 540547, 2009.
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