DOAJ Open Access 2017

Improved PageRank Algorithm Based on User Behavior and Topic Similarity in Microblog Environment

ZHU Haodong,DING Wenxue,YANG Lizhi,FENG Jiamei

Lihat Sumber DOI

Abstrak

Aiming at the theme drifting and the page weight splitting of traditional PageRank algorithm,an improved PageRank algorithm is proposed.In order to improve the user query efficiency and search quality,combined with the time feedback factor,it makes a comprehensive analysis on user forwarding,user comments and micro-blog mentions.Statistical analysis is used to measure the contribution of user behavior in the ranking of micro-blog user influence.By using the improved TF-IDF algorithm to calculate the similarity weight of the topic,the user can select the Web page with high relevance to obtain the corresponding PageRank weight.Experimental results show that compared with common microblog ranking algorithms,the improved PageRank algorithm has better user influence ranking effect.

Topik & Kata Kunci

Computer engineering. Computer hardware Computer software

Penulis (1)

ZHU Haodong,DING Wenxue,YANG Lizhi,FENG Jiamei

Format Sitasi

APA MLA BibTeX

Jiamei, Z.H.W.L. (2017). Improved PageRank Algorithm Based on User Behavior and Topic Similarity in Microblog Environment. https://doi.org/10.3969/j.issn.1000-3428.2017.05.029

Akses Cepat

Lihat di Sumber doi.org/10.3969/j.issn.1000-3428.2017.05.029

Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.3969/j.issn.1000-3428.2017.05.029
Akses: Open Access ✓