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Recommender Engine (Item/Content based) for movies using PostgreSQL DBWrite some Software

We're looking for a data scientist/ analytics person with strong developing skills.

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What you get:

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A PostgreSQL relations database hosted on heroku with roughly 1,2M rows. It includes [url removed, login to view] movies.

Each movie has attached relations tables about:

- Genre (40 categorical data)

- Budget (numerical with currency ID)

- Talents like cast or director (100k different talents)

- Country of production (70 categorical)

- Language (70 categorical)

- Keywords (15k categorical)

- Release date (date)

Our Goal

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What we need is a item-based recommendation service, that allows us to recommend similar items (e.g. using k-nearest-neighbor) based on input from a user.

Example Search / Input might be for example:

- Genre: Drama, Action

- Country of production: Spanish

- Budget: 5MUSD

- Language: Spanish

- Keywords: teenager, car

See attached image of the Ruby Application.

What we're looking for are

1) a paginated list of relevant similar movies sorted by relevance which we can used to display a relevanced sorted list of movies in the attached page.

2) Plus: for one move or or an array we need the possibility to receive an indicator for each movie how similar an item is.

3) we would need to have the ability to define weights manually for each input factor (if this cannot be trained in another way)

4) use segments (defined e.g. by budget or genre) where we can have optimized weight definitions (if this cannot be defined in a smarter way)

5) build a "success" Indicator for Talents (e.g. Actor, Director, Producer) that allows us to find similar "successful" Talents based on this indicator. The Indicator is calculated from several numeric data representing success.

We would need to have a secure Json Webservice that connects your recommendation service with our Ruby App.

Bootstrap Implementation

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We're looking - at the moment - for a Bootstrap Implementation which then can be replaced by a more sophisticated solution (e.g. SAP Hana) at a later stage now.

Therefore for the moment we're looking for a fixed price for the described solution (or if needed - less capable solution) which is

- (IMPORTANT) deliverable within the next 20 days.

- Deliverable means integrated, tested in staging enviroment and hosted in the Cloud (Amazon, Heroku)

- managed via github

- processes any request in a maximum of 10 seconds

Potential Implementations Approaches

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[url removed, login to view] might be an option

Pretty straight forward on [url removed, login to view]: [url removed, login to view] + [url removed, login to view]

Apache Hadoop

Amazon Recommendation

Google Apps App Engine

Python?

more ideas ?

Long Term seek

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Even it's now a fixed budget project due to limited resources right now, we're looking for a longterm collaboration with a communicative person who's open to join a international team of technology geeks, marketers and business managers who all run one startup.

Thanks for reading and any proper (!) application.

Talk to you soon :-)

Habilidades: Extração de Dados, Processamento de dados, Ciência de Dados, PostgreSQL

Ver mais: need sap, look ruby, using google apps, content factor, seek python, seek mining, seek limited, seek international, seek spanish, seek car, search recommendation engine, sap business one price, ruby search engine, ruby price, recommendation engine python, python seek, python recommendation engine, person search engine, movie recommendation engine, marketers find, look project managers, look producer, list get python, get scientist look, find software developing team

Acerca do Empregador:
( 1 comentário ) Cologne, Germany

ID do Projeto: #6824888

9 freelancers estão ofertando em média €1476 para este trabalho

helmot

Hello, Great project! I have not seen any project like this for a long time here. - I have a MSc degree in AI and have worked with most of Machine Learning and Pattern Recognition algorithms. I have worked with Mais

€1368 EUR in 20 dias
(9 Comentários)
5.1
truongngocthanh

Hi Sir, I think in this case we can apply mortardata ([url removed, login to view]) to your project. It's ruby based solution and working with AWS elastic mapreduce for processing data. I have been research this tool Mais

€1250 EUR in 20 dias
(7 Comentários)
4.0
innovese

Hi, I have worked in different areas of machine learning incl. regression analysis, recommendation engines, text processing incl. NLP and also have expertise needed for setting up such big-data applications. I also Mais

€1250 EUR in 20 dias
(2 Comentários)
3.4
naveen824127

I have 4+ years of working experience in machine learning domain and have master degree in computer science. Worked on many projects mainly in Predictive analytics, Natural language language, text mining, web mining et Mais

€2000 EUR in 30 dias
(1 Comentário)
2.1
rajudelhi2008

6+ years of experience in machine learning and master degree holder in computer science. Expertise in R,WEKA, JAVA,PYTHON, Hadoop, MapReduce. Worked on many projects in machine learning.

€1500 EUR in 20 dias
(1 Comentário)
1.2
ln74077

hi I am good with recommendations algorithm. I am interested in this project. I want an opportunity to start free lancing. I can give my contribution for project. Hope we will work long term. Skype : [url removed, login to view]

€1667 EUR in 20 dias
(0 Comentários)
0.0
krishnanunni89

I have 2 years of experiance in postgreSql and i am familier with most of the postgreSql functions and tricks.

€1250 EUR in 20 dias
(0 Comentários)
0.0
reflection8619

I'm a SAP Hana Certified + ABAP Principal consultant with over 7.5 years experience having major expertise in HANA, Fiori, ABAP,Archiving,ABAP-HR, ABAP-GTS , Business Intelligence (BI & BW) ,BPC,Workflows ,Idocs , and Mais

€1500 EUR in 20 dias
(0 Comentários)
0.0
mobileappdevin

Hi, I have reviewed the requirements, we are a small team of Python/Django & MEAN developers working on [url removed, login to view] angularjs since 2010. here is few of our Python Work : [url removed, login to view] http:// Mais

€1500 EUR in 30 dias
(0 Comentários)
0.0