Software recommending method and recommending system
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United States of America Patent
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Feb 6, 2018
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app pub date -
Dec 12, 2012
filing date -
Dec 14, 2011
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Abstract
Disclosed are a software recommending method and a software recommending system. The method comprises: detecting software already installed and/or web application already run on a client (101); analyzing software already installed and/or web application already run on the client, and obtaining personalization data of the client user, wherein the personalization data include age data, and/or personality data, and/or gender data (102); providing a corresponding software recommending mechanism according to the personalization data of the client user (103). This solution makes software recommendations for different personalities of different users, so that the recommendations are more targeted; and a user also does not need to search a variety of software for desired software through complicated operations.
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