Top-K query method and system for incomplete data
A technology of complete data and query methods, applied in the field of data query, can solve problems such as lack of generality and limited scope of application, and achieve the effects of narrowing the filling range, ensuring accuracy, and high query accuracy and efficiency
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[0065] In order to quickly retrieve data that may be of interest to users from massive data, for example, commodities, the following embodiments are used to quickly and efficiently report the k best results in large-scale data according to user preferences.
[0066] The incomplete product rating data set in Table 1 contains 5 users' ratings on 12 product objects. Some ratings of some products are missing, and the missing values are replaced by "-". Assume result set size k=2 and weight vector The LB and UB of each object are calculated, as shown in the last two columns of Table 1. The data set is sorted in descending order according to LB, and the first k objects are ID=11 and ID=12. Take the LB with ID=12 (ie 52.15) as the threshold, compare this value with the size of UB of other objects, and get the first candidate set {ID=11, ID=12, ID=1, ID=2, ID=5 , ID=9}. Fill the first candidate set, such as mean filling. First, calculate the mean value of each attribute as 29.5...
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