Moviebot Mike applink
Mike predicts 9 user intents, makes recommendations for about 200 IMDb 7+ rated Bollywood movies from the 2010 - 2019 era based on plot similarity, gives movie plots, and drops movie dialogues in the conversation.
NOTE: The web app is deployed on a free server which goes into sleep mode and takes about 10s for boot up, once loaded the bot will work as expected.
When a user asks for a recommendation, the bot activates the a module that handles such requests, following are commands to trigger that module
- For Movie Recommendations enter "movies like movie-title" command.
>> movies like rockstar - For Movie Plots enter "about movie-title" command.
>> about zindagi na milegi dobara - Easter Eggs.
>> who are you? >> what did you do all day? - Casual conversation.
>> how are you? >> do you have friends? >> you're mean
| Feature | Description |
|---|---|
| Unk Handler | Implemented a module to replace out of vocabulary words (words not seen in training) detected in a user request with 'unk' to gain maximum information out of the request, the UNK percent in the bot response refers to that. |
| Movie Title Spellings | To handle variations of movie title spelling, implemented a module that computes Levenstein distance between user input movie title and the ones in the database to capture appropriate movie title given by the user. |
| Profanity Handler | Implemented an intent that tries to detect swear words in a user's request. |
The model training part of the projects is in the moviebot-mike-training repository.
This repo is currently in a development state, I'm working on setting up an easy method to run this application on local machines, will update this section soon. In the meantime check out the moviebot-mike-training repository.