RANKING SEARCH RESULTS BY INTEGRATING GOOGLE PAGERANK AND USER CLICK-THROUGH SIMILARITY ANALYSIS

Search engines have become a dominant force in e-commerce, because the rankings of search results have a great impact on the possibility that a particular website will be visited while the rankings of search results can be objectively determined by using an algorithm, the click-through behaviors of users are ignored. This study integrates Googleʹs PageRank algorithm and usersʹ click-through preferences for search results with the aim of producing an optimum ranking solution for search engines. Such an optimum ranking solution can not only provide users with more accurate results, but also satisfy the quick and convenience demands of users.