Recomends hashtags based on previous tweets with hashtags. It only works with users in the data base.
Next goal: Work with all the users in Twitter.
BDML Project for http://aprendizajengrande.net
Inspired in gitrecommender: https://github.com/DrDub/gitrecommender/
$ ./hashrecommender user_name path/to/ids.txt path/to/hashtags_ids.txt path/to/hashtags_per_user.txt
UserBased Recommendation based on Twitter Hashtags ----------------------- Searching recommendations for: lthurr The user lthurr has the following tweets ['resfriodetomi', 'algund', 'unc', 'hackatong', 'storify', 'alsicebucketchallenge', 'amyleeaftermath', 'benedetti', 'elnietodeestela', 'rockinrio2015', 'preguntados'] Recommendations: > edutech - value: 0.055 > arg - value: 0.04 > semanatic - value: 0.024999999 > programar - value: 0.02 > startup - value: 0.015 > startups - value: 0.015 > aulica - value: 0.015 > rse - value: 0.015 > selfie - value: 0.01 > python - value: 0.01 -----------------------
Please, you can use my TweetDataCollector client. https://github.com/lthurr/TwDataCollector