Abstract: Tag recommendation is focused on recommending useful tags to a user who is annotating a Web resource. A relevant research issue is 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 algorithm in generalized association rule mining on it. Association between two levels find out by WordNet lexical database. Tag selection and Ranking algorithm assign the desirable tags to the image. The use of the generalizations in rule-based tag recommendation yields significant performance improvements.
Keywords: Tag recommendation, Generalized association rule mining, Rule-based systems.
|
DOI:
10.17148/IJARCCE.2018.7615
