Feature selection

[stojanov-igor]

I have outlined the features that should be taken in account by the model.

Profile Pallet

Characteristic	Description	Type	Entry
Interests	These are the primary features for a recommendation. We try to find similarities between interest and task. description	Array of Strings	Manual, Mandatory
Reputation	We recommend higher paying tasks to people with more reputation first.	Number	Automatic
Portfolio	We can evaluate personal portfolio of user to make sure that it matches with task description	String (may contain list of IPFS documents)	Manual, Optional
Availability	Take into account user availability before the deadline when making a recommendation.	Number (approx. Or list of 10hr,20hr,30hr)	Manual, Mandatory
Profile History	Previous work history of the User is used to recommend similar tasks.	Array of Tasks	Automatic
Location	Location of user in NAD format	String	Manual

Task Pallet

Characteristic	Description	Type	Entry
Title	Task Title that describes the task	String	Manual, Mandatory
Requirements	Definition that specifies the requirements of the task	String (RichTextEditor?: JSON-Strigify)	Manual, Mandatory
Budget	The budget for a task	Number	Manual, Mandatory
Deadline	Expected end time for the task	Datetime	Manual, Mandatory
Attachments	Additional information that is relevant to a task.	File (Referenced by IPFS Hash)	Manual, Optional
Keywords	Few words used to filter the task (mainly used for the recommendation)	Array of Strings	Manual, Optional
Location	Location of user in NAD format	String	Manual

DAO

ID	Unique identifier for an organization	UUID or similar	Automatic
Description	Basic description regarding the organization, industry, and goals	String	Manual, Optional
Vision	Document that describes company Vision	String (Hash to IPFS Document)	Manual, Mandatory
Properties	Custom collection of properties that can be added.	An array of Objects	Manual, Optional