[devinhn]

Hey thanks for giving it a try! And yes, built it with python - specifically I'm using a modified version of gensim's TF-IDF model implementation. If you haven't heard of TF-IDF before give http://www.tfidf.com/ a read through.

It might be overkill to use tensorflow for TF-IDF, but go for it!

With lxi.ai, I use the top 10 most important keywords for the actual comparison along with some other tricks to make sure the model can scale. Might be worth a blog post or something.

[rasulkireev]

Thanks.

Found a small bug. I've added a few bookmarks and when I press the Random Bookmark link I get an Internal Server Error at this url (https://lxi.ai/bookmarks/achieve):

``` The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application. ```

[devinhn]

Ah yes that makes sense - it'll be fixed within the hour.

[rasulkireev]

- How did build the graph view, looks very good? - Did you use Python to build the Chrome addon, too? If so, do you mind sharing a resource where I can see how to do that, cause when I was looking, did not find anything.

Thanks a ton in advance.

[devinhn]

The graph is built with D3.js and some minor JS/CSS changes to create the hover effects.

The extensions are built with simple html/js/css - they're basically mini webpages with special permissions. For example, I use an activeTab api provided by the browser to read the page text when the user clicks a button.

I recommend google's getting started docs: https://developer.chrome.com/docs/extensions/mv3/getstarted/

Or find a youtube video and follow along!