Search method, system and device

A search system, comprising:

• a search service subsystem having a processor and a storage including instructions that, when executed by the processor, cause the processor, to receive a search request, receive a meta index reported by each member engine, select a member engine according to the meta index of each member engine, the search request, and a user interest model, and send the search request to the selected member engine;
• and
• at least one member engine, configured to report the meta index of the member engine to the search service subsystem, and receive the search request sent from the search service subsystem, so as to complete searching;
• wherein the user interest model is a vector formed with scores given to each of several interest dimensions denoting user interests;
• the user interest model comprises a static interest model and a dynamic interest model:
• the static interest model is obtained by obtaining frequencies of words belonging to a certain interest dimension in a static user profile of a user, calculating a sum of the frequencies of the words belonging to the interest dimension as a score of the interest dimension, and forming a score vector with different scores to create a static interest model;
• and
• the dynamic interest model is obtained by obtaining frequencies of words belonging to a certain interest dimension in a document clicked in a search history of a user, calculating a sum of the frequencies of the words belonging to the interest dimension in the document as a score specific to the interest dimension in the document, forming a score vector specific to the document with different scores specific to different interest dimensions, and a sum of the score vectors specific to different documents to create a dynamic interest model.