Survey of Web Search Engines: Classifications, Characteristics and Effectiveness
Juryon Paik, Junghyun Nam, Junghwan Kim, Ung Mo Kim, Dongho Won · International Journal of Information Processing and Management · 2013
The explosive growth of data available in the internet exposes a serious problem, informationoverflow, where each user gets rarely necessary information and which brings blind spot of information search. The blind spot means the areas which cannot be accessed by search engines. Hence, there is no way users can get the information in blind spots. They are getting wider, which cause loss of valuable information for users’ queries. The problem of blind spots stems from the way of navigating the web for current leading search engines, Google or Yahoo; they crawl web pages periodically and automatically, store them into indexed databases, and retrieve search results via queries. However, the rapid growth of the web data brings a limit of indexing pages, which massproduces data areas that cannot be accessed by the search engines. Besides, they still retrieve useless results for depending on a few keywords, where users wander again for really necessary information. The truly required searching way is to provide valuable and accurate search results to users in a customized way and to deliver the information from the viewpoint of a user, not from the viewpoint of a search engine provider. Recently, fresh search engines are developed and issued with Silicon Valley as the center. Their objectives are the intelligent and specialized search results as well as easy user interfaces. In this manuscript, we introduce some representatives of the newly published search engines along with surveying and classifying systematically current existing web search engines.