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A Method and System for Automatically Recommending Social Aware Tweet Messages based on Users’ Tweet History

IP.com Disclosure Number: IPCOM000244789D
Publication Date: 2016-Jan-15
Document File: 2 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system for automatically recommending social aware tweet messages based on users’ tweet history. The method and system identifies category of original tweet and verifies social network contacts of a user to identify retweet similar to the original tweet and suggest the respective retweet comments to the user.

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A Method and System for Automatically Recommending Social Aware Tweet Messages based on Users' Tweet History

Disclosed is a method and system for automatically recommending social aware tweet messages based on users tweet history. The method and system identifies category of original tweet and verifies social network contacts of a user to identify retweet similar to the original tweet and suggest the respective retweet comments to the user.

In an implementation, the method and system analyzes a tweet from a social network and categorizes the tweet to identify the type of tweet based on hashtag and keywords used in the tweet.

The method and system including a quote analysis module identifies retweets of the user's social network contacts by leveraging the tweet and category of the tweet. Then, the retweets are displayed along with their comments to the user. Here, the retweet of messages is identified by using a same/similar tweet determination module. Where, a message is said to be retweeted, if the original message is exactly same as the message tweeted by the user's social network contacts. Similarly, the message is said to be similar tweet, if the original message is mostly same by mapping similar key hashtags and keywords of the message.

Further, the method and system selects most relevant comments of the retweets from the retweets and comments displayed to the user using a select module. The select module also considers relevancy of comments, weightage of comments, past tweet history of the user and the user's preferences to determine style of the user for selecting relevant comments. The relevancy and weightage of the comments is considered if the selected comment is too long. Similarly, the users past tweet history can be used to determine likes and dislikes of the user to tweet and the words frequently used by the user in comments. The user's preferences are considered to reduce duplication and repetitiveness of selecting the relevant comments.

Thereafter, the relevant set of retweet comments are suggested and displayed to the user using a display module. The user can then select any one of the suggested retweet comments and click on tweet button to share the respective retweet comment. Additionally, the user can also add new tweet and share on the social network, if the suggested comments are not satisfactory.

In other implementation, if the user wants to explore new retweet comments, the quote analysis module analyses users in the socia...