Search recommendation method and device, electronic equipment and readable storage medium
A search recommendation and sub-module technology, applied in the Internet field, can solve problems such as few results, affecting user experience, and cumbersome operation process
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Embodiment 1
[0027] refer to figure 1 , which shows a flow chart of the steps of the search recommendation method in an embodiment of the present disclosure, the method includes:
[0028] Step 101, in response to the query request, obtain the query information carried in the query request and the user information and store information corresponding to the query information;
[0029] Step 102, based on the query information, the user information, and the store information, recall a set of candidate information;
[0030] Step 103 : sort the candidate information in the candidate information set, and obtain the returned result corresponding to the query request.
[0031] The search recommendation method provided by the present disclosure can be applied to electronic devices, which include but are not limited to: smart phones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III, Moving Picture Experts Group Audio Layer III) ) player, MP4 (Moving Picture Expert...
Embodiment 2
[0109] refer to image 3 , which shows a structural diagram of a search and recommendation device in an embodiment of the present disclosure, specifically as follows.
[0110] An information acquisition module 301, configured to, in response to a query request, acquire the query information carried in the query request and the user information and store information corresponding to the query information;
[0111] A candidate recall module 302, configured to recall a set of candidate information based on the query information, the user information, and the store information;
[0112] The result determination module 303 is configured to sort the candidate information in the candidate information set, and obtain the returned result corresponding to the query request.
[0113] Optionally, the candidate recall module 302 includes:
[0114] A first recall submodule, configured to recall a first candidate information set related to the query information based on the query informati...
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