The authors introduce new measures of semantic similarity and relatedness for ontological concepts, based on the properties associated to them. They consider two concepts similar if, for some properties they have in common, they also have the same values assigned to these properties. On the other hand, the authors consider two concepts related if they have the same values assigned to different properties. These measures are used in the propagation of user interest values in ontology-based user models to other similar or related concepts in the domain. The authors tested their algorithm in event recommendation domain and in recipe domain and showed that property-based propagation based on similarity outperforms the standard edge-based propagation. Adding relatedness as a criterion for propagation improves diversity without sacrificing accuracy. In addition, assigning a certain relevance to each property improves the accuracy of recommendation. Finally, the property-based spreading activation is effective for cross-domain recommendation.

Likavec, S., Osborne, F., & Cena, F. (2015). Property-based semantic similarity and relatedness for improving recommendation accuracy and diversity. INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 11(4), 1-40 [10.4018/IJSWIS.2015100101].

Property-based semantic similarity and relatedness for improving recommendation accuracy and diversity

Osborne F;
2015

Abstract

The authors introduce new measures of semantic similarity and relatedness for ontological concepts, based on the properties associated to them. They consider two concepts similar if, for some properties they have in common, they also have the same values assigned to these properties. On the other hand, the authors consider two concepts related if they have the same values assigned to different properties. These measures are used in the propagation of user interest values in ontology-based user models to other similar or related concepts in the domain. The authors tested their algorithm in event recommendation domain and in recipe domain and showed that property-based propagation based on similarity outperforms the standard edge-based propagation. Adding relatedness as a criterion for propagation improves diversity without sacrificing accuracy. In addition, assigning a certain relevance to each property improves the accuracy of recommendation. Finally, the property-based spreading activation is effective for cross-domain recommendation.
Articolo in rivista - Articolo scientifico
Scientifica
Intelligent System; Ontology; Properties; Relatedness; Similarity; User Interest Propagation; User Model;
English
Likavec, S., Osborne, F., & Cena, F. (2015). Property-based semantic similarity and relatedness for improving recommendation accuracy and diversity. INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 11(4), 1-40 [10.4018/IJSWIS.2015100101].
Likavec, S; Osborne, F; Cena, F
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/381192
Citazioni
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 16
Social impact