Rule Based Tag Recommendation for Images

Authors(2) :-Harshada A. Karande, Prof. A. G. Phakatkar

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.

Authors and Affiliations

Harshada A. Karande
Student, PICT, Pune , Maharashtra, India
Prof. A. G. Phakatkar
Assistant Professor, PICT, Pune, Maharashtra, India

Tag Recommendation, Generalized Association Rule Mining, Rule-Based Systems.

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 374-380
Manuscript Number : CSEIT183628
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Harshada A. Karande, Prof. A. G. Phakatkar, "Rule Based Tag Recommendation for Images", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.374-380, July-August-2018.
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