An Advanced and Effective Literature Search Algorithm Based on Analytic Hierarchy Process
Qiong Wang, Cong Liu, Zhiying Wang · 2011
Currently, electronic literature becomes increasing common for its convenient and informative features, however, the sharp increase in the number of literature has brought certain difficulties for the users to manage and access to such literatures. This demand is satisfied to some extent by the literature search engines on some existing well-known websites. But such literature search does not take into account various elements thus the access efficiency is far from the expectation. To address this issue, this paper, combining with the demands of research institutes, teams and other small groups, has developed a literature search algorithm based on AHP (Analytic Hierarchy Process). This system fully considers all the aspects of elements and improves the literature search algorithm by applying analytic hierarchy model, thus enables the ranking of literature search results to be much more valuable and beneficial to the users. Research and testing have shown that, compared with Google Scholar, the proposed algorithm in this paper is more accurate, advanced and effective in accessing and managing literatures for the researchers in academic institutes.