Multiple-attribute Entity Recommendation Based on Classification

Authors

Meina Song, 1.School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China; ;2.Information Network Engineering Research Center of Ministry of Education, Beijing 100876, China;
Xuejun Zhao, 1.School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China; ;2.Information Network Engineering Research Center of Ministry of Education, Beijing 100876, China;
Haihong E, 1.School of Computer Science, Beijing University of Posts & Telecommunications, Beijing 100876, China; ;2.Information Network Engineering Research Center of Ministry of Education, Beijing 100876, China;

Abstract

Abstract: In the process of exploring entity recommendation, the entity containing diverse attributes has gained more and more attention. Most of the current researchers mainly select one attribute, and embody it in the related algorithms and their extensions even though the entity is combined with multiple attributes in entity recommendation. In this paper, on the basis of the classification method, we delve into physical properties of the recommended entities, divide entity’s attribute information network into multiple sub ones. In sub information network, bounded by the amount of attributes, the single attribute and even multiple attributes can be diverted into diverse paths of entity similarity, combining with entity similarity and related algorithm, where we can get the recommended results. This study not only refers to various attributes, but also improves the precision of recommendation.

Recommended Citation

Song, Meina; Zhao, Xuejun; and E, Haihong (2019) "Multiple-attribute Entity Recommendation Based on Classification," Journal of System Simulation: Vol. 30: Iss. 2, Article 5.
DOI: 10.16182/j.issn1004731x.joss.201802005
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss2/5

First Page

405

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201802005

Last Page

413

CLC

TP391.9

Recommended Citation

Song Meina, Zhao Xuejun, E Haihong. Multiple-attribute Entity Recommendation Based on Classification[J]. Journal of System Simulation, 2018, 30(2): 405-413.

DOI

10.16182/j.issn1004731x.joss.201802005