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Home Page: https://berg-dining.herokuapp.com/
License: MIT License
Server for Berg Dining project
Home Page: https://berg-dining.herokuapp.com/
License: MIT License
Pseudocode is designed
Fill with dummy data for now
Note that this is a Maven project, so add dependencies through Maven
Cache new menus within first 2 hours due to expected large download requests.
Save to database after and pull from it rather than connecting to website and re-parsing
Use local postgres db
Fill with a link to the wiki, perhaps.
This server is intended to be used by a computer, not people. The homepage does not need to be pretty
Done. "Dictionary" text file was created with keywords. Incoming menu item names were compared to dictionary and image ids were assigned based on matching keywords.
e.g. "Grilled Turkey Burger" was assigned the "Burger" id. Priority is given to broader categories of food. The user would expect a picture of a burger rather than a turkey, even though the item is both. Priorities will probably need to be adjusted as more items are analyzed. Priority is assigned by place in list (higher on list = higher priority)
Not all items are able to be categorized, such as those for which we have no image or are given strange or broad names (e.g. "Au jus", what is that?). This is expected to be rectified with time as more and more menu items are analyzed.
Discuss access to master dining list and parsing options
Find a way to get more images
Have a document ready by end of week describing CRUD interface
Gives a basic overview of how this server works, what heroku is, and the key components
Call the parsing method every week using Spark. We don't want to run a process continuously for that long, so I will try to find a more efficient way through the framework
Don't know if this is even necessary, but compressing it may help
Update wiki accordingly
should be a property with every menuitem
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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Open source projects and samples from Microsoft.
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