Intelligent inquiry method oriented to mobile Internet on mobile terminal

Abstract

The invention relates to an intelligent querying method on a handset terminal to a mobile internet, which comprises the following steps: starting querying by the handset terminal, applying a scene processing module to judge scenes of information, bringing scene information into applied scene information, adding user habit information in querying information of users by a querying habit tracking module, inputting the querying information, the scene information and the user habit information into a query judging module, and selecting a network side search engine or a handset end search engine or the network side search engine and a handset end search engine to query simultaneously according to the querying information, the scene information and the user habit information by the query judging module. The fusion of network data and local data, and the unification of the network search engine and the handset end search engine can be realized through adopting the method, which is beneficial for users to obtain rapider data query experience.

Description

technical field [0001] The invention relates to query or search technology based on mobile phone terminals and mobile Internet, in particular to a mobile Internet-oriented intelligent query method on mobile phone terminals, which can realize the fusion of network data and local data, as well as network search engines and local search The unification of engines helps users to obtain faster data query experience. Background technique [0002] Query technology is widely used on mobile phones or PCs, such as mobile phone book query, Google or Baidu query, these technologies have the following disadvantages: [0003] 1) The query range is limited to a fixed area, failing to achieve network and local integration. [0004] 2) It is not sensitive to context (scenario). The context defined in this article includes user habits, application scenarios, and application internal scenarios. [0005] 3) The degree of intelligence is not high, including user habit analysis, priority level ...

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Problems solved by technology

[0005] 3) The degree of intelligence is not high, including user habit analysis, priority level setting, multi-source query data source setting, fuzzy matching algorithm, dynamic display of search results, sorting and display of query results, etc.

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