Related products recently caught my attention recently when evaluating how to best render a Product, along with what the store owner thinks are related products, hoping to increase chances of selling one or more products.
The algorithms I found published on the forums were by and large based on the following algorithm:
With about four full years of experience playing with Shopify’s system, the Shopify API, the Javascript API, Ruby, Rails, and Liquid, I feel prepared to teach what I have learned to others.
I will soon open my first and very own Shopify store, with custom courses as the product for sale. I will likely keep it simple, offering time in exchange for money. You can request a course to learn anything you want about Shopify, without fear of confusing or incorrect answers from the public forums.
Courses will be offered via screen sharing, Skype or perhaps even just the good old telephone system if desired. I am probably going to prepare some online slideshows as well, to assist in the course content delivery, and to keep focus…
I have not used Vision lately in any of my Shopify development, but that has recently changed due to some new work habits.
Currently hooked up to the latest version. Installed it in my /workspace. It runs using the command line, ruby vision.rb. I symlink a Shopify store into Vision’s /themes directory allowing me to keep the actual code in my Shopify Github account on a per client basis. Every project I work on gets assigned to a directory in my Github account. When adding a new client or store, I simply do a git add <new_client_store>, and all my work is versioned and available to any of my computers, be it a laptop or desktop, home or away. Vision does not provide all the luxury of a real Shopify store, but for 80% or so of what I need, it is fine. I can quickly download a copy of a site once it is localhost:3232 approved, and then upload it to the client’s account for live tests…