Re: Presentation of traversi framework via graph recommendations

[Amirouche Boubekki <amirouche@hypermove.net>]

On 2016-09-09 09:49, Neil Jerram wrote:
> I got lost at the point of looking up the genres for Toy Story; why
> does that involve graph traversal? 
> 

Because genres are connected to movies using an edge. It's possible to
store genre information in a movie vertex assoc as a list value but then
it will be difficult to fetch all movies for a given genre.

With this graph layout, you can for instance fetch the "fantasy" genre
and ask the question "what are all the movies of fantasy genre" simply
using 'outgoings' proc... See below.


> 
> Probably it would help to add a bit into the blog to explain how the
> movie information is mapped into a graph. 
> 

I should prolly add a drawing too.

While trying to write down an explanation about how the graph
is built I figured there is a mistake in how the graph is built.
Movie and genre are connected by a genre edge, it doesn't make much
sens. It should be somekind of relation like "movie is instance
of genre". It will make more sens, it will be more explicit.

I will rewrite the load script to avoid this mistake and rework
the article.

I will keep you posted. Thanks for your interest.

> 
> 
>   Original Message  
> From: Amirouche Boubekki
> Sent: Friday, 9 September 2016 07:32
> To: Guile User
> Subject: Presentation of traversi framework via graph recommendations
> 
> Héllo,
> 
> I published an article on my blog about how to use `grf3`
> the graph database library built on top of wiredtiger [0].
> 
> [0]
> http://hyperdev.fr/notes/a-graph-based-movie-recommender-engine-using-guile-scheme.html
> 
> This introduce traversi framework to do graph traversal.
> traversi is inspired from Tinkerpop's Gremlin. Traversi
> is a custom stream library which is faster than srfi-41
> and support backtracking.
> 
> I think that building traversi on top of streams make
> graph traversal much more approachable.
> 
> This article is inspired from a *graph-based recommender engine* [1]
> 
> 
> [1]
> https://markorodriguez.com/2011/09/22/a-graph-based-movie-recommender-engine/
> 
> 
> Have fun!