Authors: Godfrey Winster Sathianesan; S. Swamynathan
Addresses: Department of Computer Science and Engineering, Saveetha Engineering College, Anna University, Chennai, Tamil Nadu, 602105, India ' Department of Information Science and Technology, College of Engineering, Guindy Campus, Anna University, Chennai, Tamil Nadu, 600025, India
Abstract: Blogging plays a major role in today's social networking. Large numbers of blogs are available in the web. This becomes a tedious task for the user and the blogger, to search for a technical blog from a list of randomly appearing blogs. Thus a method is required to rank the blogs for the user, according to the relevance of the query. The existing works focus either on the behaviour of the blogger or the linking of one blog with another blog. This paper introduces a novel method of ranking blogs based on the relevance of the content to the query. The semantics of the query is analysed to rank the blogs. The proposed method also uses concept-based profiling, to enable the user to retrieve personalised content for the query. The experimental analysis shows that the proposed personalised semantic blog ranking (PSBR) is efficient in ranking the technical blogs for the user.
Keywords: personalisation; technical blogs; bloggers; blogging; semantic web; ontology; blog ranking; concept-based profiling; personalised ranking; social networking; query semantics; personalised content.
International Journal of Computer Applications in Technology, 2014 Vol.49 No.1, pp.69 - 79
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 05 Feb 2014 *