INDIVIDUALIZED DATA SEARCH
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United States of America Patent
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Issued Date -
Jun 4, 2015
app pub date -
Nov 26, 2014
filing date -
Nov 29, 2013
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Abstract
A machine learning is conducted according to user behavior data to obtain a satisfaction degree of the user behavior data. One or more characteristics are selected from a characteristic of the user and a characteristic of the data object in the user behavior data to obtain a characteristic combination. Individualized model training is conducted according to the satisfaction degree of the user behavior data under each characteristic or characteristic combination to obtain an individualized weight of each characteristic or characteristic combination. One or more data objects searched according to a query word in a search request of the user is ranked based on the individualized weight of the characteristic or characteristic combination. The one or more searched data objects are displayed according to the ranking. The present techniques improve performance of a search platform, increase accuracy of search results, and output reasonable results that satisfies an intention of the user.
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