Abstract
Search engine optimization involves various techniques which web site creators and marketers can apply on web pages with goal of ranking higher in popular search engines. One of important ranking factors is “meta description” - a short textual description of the website which is put inside web page header accessible to web spiders. In this paper we investigate if existing text summarization techniques can be used to artificially build “meta description” for websites which are missing it. Also, we propose a simple query based algorithm for generation of “meta description” content based on some summarization techniques. The experimental results and expert evaluation show that proposed algorithm for text summarization can successfully be used in this context. Results of this research can be used to build recommender system for improvement of search engine optimization of a webpage.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
