Search result ordering method and system and search result ordering optimization method and system
A technology of search results and sorting methods, which is applied in the direction of network data indexing, network data retrieval, and other database retrievals, etc., can solve problems such as network congestion and increased server burden, achieve burden reduction, objective and accurate sorting results, and avoid inaccurate sorting Effect
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Embodiment 1
[0077] refer to figure 1 , showing Embodiment 1 of a method for sorting search results of the present application, including the following steps:
[0078] In step 101, an original feature set is obtained, and the original features include preset features that may affect the ranking of search results.
[0079] The original feature set can be determined based on historical transaction data or experience. In general, the features included in the original feature set include transaction volume, transaction conversion rate, favorable rate, delivery speed, picture and text quality, transaction amount, and so on.
[0080] Among them, the original feature set of the search results can be pre-set, and can be obtained directly from the server or other databases when needed, or can obtain historical transaction data from the server or database in real time, and extract it through real-time analysis.
[0081] Step 102, extract effective features from the original feature set based on th...
Embodiment 2
[0142] refer to Figure 4 , showing the second embodiment of the search result ranking optimization method of the present application, including the following steps:
[0143] Step 401, obtaining the sorting results sorted according to the theoretical ranking scores of search results at a predetermined time point, said theoretical ranking scores being obtained according to the final weights of effective features and the actual effective feature values of each search result;
[0144] Step 402, acquiring the transaction data after the predetermined time point of the predetermined number of search results arranged in front of the ranking results, and calculating the actual ranking score of the search results according to the transaction data;
[0145] Step 403, comparing the actual ranking score with the theoretical ranking score, and if the difference between the two is greater than a threshold, optimize the final weight of the effective features.
[0146] Among them, optimizi...
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