An EMD-Based Similarity Measure for Multi-type Entities Using Type Hierarchy
Recommending entities with similar types is an important part of entity recommendation, particularly for multi-type entities. So there is a necessity to measure similarity between multi-type entities. However, most existing similarity measures are simply based on either type collection intersection or type vector similarity, and pay little attention to the weighting of types. In this paper, we propose an EMD-based similarity measure for multi-type entities, which not only takes into account pairwise type similarity, but also the weighting of types. We also present a novel PageRank-based weighting scheme by using type hierarchy. The experimental results show that our weighting scheme outperforms base-line weighting schemes and that our EMD-based similarity measure outperforms traditional similarity measures.
Keywordsentity recommendation similarity measure Earth Mover’s Distance (EMD) entity type weighting
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- 1.Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. ACM Press, New York (1999)Google Scholar
- 3.Blanco, R., Cambazoglu, B.B., Mika, P., Torzec, N.: Entity Recommendations in Web Search. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013, Part II. LNCS, vol. 8219, pp. 33–48. Springer, Heidelberg (2013)CrossRefGoogle Scholar
- 6.Järvelin, K., Kekäläinen, J.: IR evaluation methods for retrieving highly relevant documents. In: 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 41–48. ACM, New York (2000)Google Scholar
- 11.Szomszor, M., Cattuto, C., Alani, H., O’Hara, K., Baldassarri, A., Loreto, V., Servedio, V.D.: Folksonomies, the semantic web, and movie recommendation. In: Proceedings of the Workshop on Bridging the Gap between Semantic Web and Web 2.0 at the 4th European Semantic Web Conference, pp. 71–84. Springer, Heidelberg (2007)Google Scholar