Understanding the relationship of information need specificity to search query length
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Website Visibility: The Theory and Practice of Improving Rankings
Website Visibility: The Theory and Practice of Improving Rankings
Automatic query generation for patent search
Proceedings of the 18th ACM conference on Information and knowledge management
Hi-index | 0.00 |
Commercial websites need to rank well on search engines to ensure a high degree of exposure. This has become true even for academic webpages. Many universities store research outputs in institutional repositories. However, free-form Internet searching is still preferred by many students. This implies that academic publications should be findable via standard search engines. The purpose of this research was to determine the best type of query to lead to a high-ranking website containing the required abstract when searching for academic publications. A questionnaire was used to gather data on published research outputs. A variety of search queries were constructed for each output, and these queries were run to find research output abstracts online. An analysis of the results provided a variety of patterns when searching for known published academic content. The patterns were different for journal articles, conference papers, books and theses. Some of the abstracts were ranked highly on Google search result pages, with others not ranked among the first ten results. Overall the best results were provided by combining the author surname with the first sentence of the abstract text. It was concluded that the generation of search queries be alternated between the two most successful query types, rather than focussing on one type only.