A novel method on information recommendation via hybrid similarity

Document Type

Article

Publication Date

3-1-2018

Abstract

Link similarity is widely applied in measuring the similarity between such objects as Web pages, scientific papers, and social networks. However, there are some deficiencies in the existing methods to measure it. For example, they cannot handle some semantic-similar contents. Their computation may not lead to accurate results in some cases. This paper presents a novel method to do so. It introduces the semantic similarity to calculate the similarity between two given objects, and overcomes the drawback caused by the fact that the existing methods ignore the semantic information of objects. It also gives a novel computation function to make the computing result of similarity more accurate.

Identifier

85044577256 (Scopus)

Publication Title

IEEE Transactions on Systems Man and Cybernetics Systems

External Full Text Location

https://doi.org/10.1109/TSMC.2016.2633573

e-ISSN

21682232

ISSN

21682216

First Page

448

Last Page

459

Issue

3

Volume

48

Grant

16YF1400300

Fund Ref

National Natural Science Foundation of China

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