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A system and method for smart content management in social networking apps

IP.com Disclosure Number: IPCOM000248953D
Publication Date: 2017-Jan-24
Document File: 3 page(s) / 55K

Publishing Venue

The IP.com Prior Art Database

Abstract

This invention provides a system and method for smart content management in social networking apps, which gives a more meaningful and more easier way for end user to quickly locate the information they wanted.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

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A system and method for smart content management in social networking apps

Recently, more and more people like to use social networking software, to communicate with his friends. With the friend number increasing, there are lots of messages (including text, media and photos) posted daily, even by hours. If we didn't check it in time, then we will be headachy to go through all updates and may miss some important updates. Actually, for most people, they don't care all posted information. So, we need a new way to manage the content smartly, then we can easy to locate to the ones we care more and take some actions with the ones we don't like.

This invention provides a system and method for smart content management in social networking apps, which gives a more meaningful and more easier way for end user to quickly locate the information they wanted. It has following advantages. a) Provide a more smarter way to manage the content in a meaningful and clear way. It also reduces the possibility of missing important contents. b) Provide easy-to-find GUI (Graphical User Interface) for end user and significantly reduce the time to locate the content you wanted.

This invention is trying to manage the content in a smart and meaningful way and give an easy-to-find GUI for end user to quickly locate the content they wanted.

Step 1: With smartly content learning and history data analyzing, we divided all posted information into several typical categories from different aspects. a) From the content itself aspect, there will be some typical categories, such as 'child story', 'physical fitness', 'travel', 'foods', 'selling goods (purchasing agent)' and so on. b) From the relationship aspect, there will be some categories, such as 'Family', 'Colleague', 'schoolmate' and so on.

For how to smartly identify the category of the posted content, we can use following two factors. a) Each category has its own style, we can define 'key words' for each category. Then the 'key words' pool will be used as a factor. Also, end user can manually mark or change the category of one message we identified. Through learning the end user behaviors, the 'key words' pool will be updated more accurately. For example, the 'key words' for category 'selling goods (purchasing agent)' are like that ' brand, price, color, size, stock, sales...' b) Besides the 'key words', each category has its own characteristics, like post frequency, post time, post address...