A synthetical approach for blog recommendation: Combining trust, social relation, and semantic analysis

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摘要

Weblog is a good paradigm of online social network which constitutes web-based regularly updated journals with reverse chronological sequences of dated entries, usually with blogrolls on the sidebars, allowing bloggers link to favorite site which they are frequently visited. In this study we propose a blog recommendation mechanism that combines trust model, social relation and semantic analysis and illustrates how it can be applied to a prestigious online blogging system – wretch in Taiwan. By the results of experimental study, we found a number of implications from the Weblog network and several important theories in domain of social networking were empirically justified. The experimental evaluation reveals that the proposed recommendation mechanism is quite feasible and promising.

论文关键词:Blogosphere,Trust model,Social networking,Information retrieval,Back-propagation neural network

论文评审过程:Available online 29 July 2008.

论文官网地址:https://doi.org/10.1016/j.eswa.2008.07.077