The invention discloses a
design technology for an object-level personalized
vertical search engine. The basic idea of an
algorithm is that: related web pages on
the Internet are acquired by an adaptive vertical crawler technology, data is subjected to a series of objectification
processing such as semantic analysis, extraction, integration and the like, objectified information on
the Internet is acquired, and a personalized object ordering result is returned to each user in a
search engine mode. The original page data is highly purified and organized by the
search engine designed by the technology through a
data mining technology, so that the quality of the data is ensured, and the inclusion of illegal information is controlled to the greatest extent. In addition, by a
personalized search recommendation technology, the consumption preference of each user can be accurately determined, and the query intention of each user is understood. The object-level personalized vertical
semantic search engine is subjected to integrated innovation on the basis of fully learning and absorbing the advantages of
semantic search, object-level search and
personalized search technologies, and completely accords with the development direction of a next-generation
search engine.