1. A method for presenting a search result in response to a current search term, comprising: determining a pre-established first model corresponding to preselected user information and including historical user search data; identifying a selected historical search term in the historical user search data that corresponds with the current search term; identifying a selected historical selection result in the historical user search data that corresponds with the identified historical search term; determining the search result based upon the identified historical selection result, said determining the search result comprising determining an online recommendation result based upon the identified historical selection result; processing the online recommendation result to generate a generated recommendation result; and presenting the generated recommendation result, wherein said processing comprises: calculating a literal association degree between the online recommendation result and the current search term according to a logistic regression process such that the online recommendation result has the literal association degree that is greater than a preselected third threshold value; calculating a semantic association degree between the online recommendation result and the current search term according to a gradient boost decision tree such that the online recommendation result has the semantic association degree that is greater than a preselected fourth threshold value; or a combination thereof.
1. A method for presenting a search result in response to a current search term, comprising: determining a pre-established first model corresponding to preselected user information and including historical user search data; identifying a selected historical search term in the historical user search data that corresponds with the current search term; identifying a selected historical selection result in the historical user search data that corresponds with the identified historical search term; determining the search result based upon the identified historical selection result, said determining the search result comprising determining an online recommendation result based upon the identified historical selection result; processing the online recommendation result to generate a generated recommendation result; and presenting the generated recommendation result, wherein said processing comprises: calculating a literal association degree between the online recommendation result and the current search term according to a logistic regression process such that the online recommendation result has the literal association degree that is greater than a preselected third threshold value; calculating a semantic association degree between the online recommendation result and the current search term according to a gradient boost decision tree such that the online recommendation result has the semantic association degree that is greater than a preselected fourth threshold value; or a combination thereof. 3. The method of claim 1 , wherein said determining the pre-established first model comprises determining the pre-established first model including the historical user search data with a plurality of historical search terms and a plurality of historical selection results that corresponds with the plurality of the historical search terms.