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Create a recommender system - Upwork

Būsena UŽDARYTA
Biudžetas 501-1000 Eur
Sukurta: 2022-11-26
Baigiasi: 2022-12-03
Siūlo: Nėra
Apibūdinimas: I am aiming to create a recommendation engine/recommender system.


What I have as input is:


X is the value of a variable


f(a1,b1,c1,d1,e1,....,nth) = X1(t) = Value of X over time

f(a2,b2,c2,...........,nth) = X2(t)

.

.

.

f(an,bn,cn,dn,.....,nnth) = Xn(t)


For a given set of inputs, what are the most optimal a,b,c, and d combinations for the most optimal (maximum or minimum) value of X over a fixed amount of time?


The recommendation system should give combinations of a,b,c,d,..... with their potential weights to get the final desired outcome.


I'd be happy to share datasets for anyone working on the project.


The scope would not just be to create the code that works for a specific set of data but implement and test the same across other datasets.


Factors that influence our judgment:

1. Past experience with similar projects

2. Ability to communicate verbally and in writing both non-technically and technically

3. Code Quality

4. Approach to solving the given problem

5. Innovative approaches to solve the problem

Hourly Range: $35.00-$100.00


Posted On: November 26, 2022 03:38 UTC
Category: Machine Learning
Skills:Machine Learning Model, Python, Machine Learning

Skills: Machine Learning Model, Python, Machine Learning
Country: India

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Darbo Tipas(ai):
  • PHP
  • CSS
Duomenų Bazė:
Operacinė Sistema: Linux
Siūlymų Skaičius: 0
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