World Wide Web has become very popular in last decades and brought us a powerful
platform to disseminate information and retrieve information as well as analyze
information, and nowadays the Web has been known as a big data repository consisting
of a variety of data types, as well as a knowledge base, in which informative
Web knowledge is hidden. However, users are often facing the problems of information
overload and drowning due to the significant and rapid growth in amount
of information and the number of users. Particularly, Web users usually suffer from
the difficulties in finding desirable and accurate information on the Web due to two
problems of low precision and low recall caused by above reasons. For example, if
a user wants to search for the desired information by utilizing a search engine such
as Google, the search engine will provide not onlyWeb contents related to the query
topic, but also a large mount of irrelevant information (or called noisy pages), which
results in difficulties for users to obtain their exactly needed information. Thus, these
bring forward a great deal of challenges forWeb researchers to address the challenging
research issues of effective and efficient Web-based information management
and retrieval.
World Wide Web has become very popular in last decades and brought us a powerfulplatform to disseminate information and retrieve information as well as analyzeinformation, and nowadays the Web has been known as a big data repository consistingof a variety of data types, as well as a knowledge base, in which informativeWeb knowledge is hidden. However, users are often facing the problems of informationoverload and drowning due to the significant and rapid growth in amountof information and the number of users. Particularly, Web users usually suffer fromthe difficulties in finding desirable and accurate information on the Web due to twoproblems of low precision and low recall caused by above reasons. For example, ifa user wants to search for the desired information by utilizing a search engine suchas Google, the search engine will provide not onlyWeb contents related to the querytopic, but also a large mount of irrelevant information (or called noisy pages), whichresults in difficulties for users to obtain their exactly needed information. Thus, thesebring forward a great deal of challenges forWeb researchers to address the challengingresearch issues of effective and efficient Web-based information managementand retrieval.
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