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Information Retrieval Group Project - Sparked

TU Delft, Masters Software Technology, Information Retrieval, 3rd Quarter 2015

Application Summary

In this assignment, our group built the application "Sparked". The purpose of Sparked is to crowdsource ideas for mobile applications. The application would generate the applications most desired by the crowd with the idea that the applications could then be created and sold.

This assignment was meant to showcase the use of three relevant technologies: crowdsourcing, human computation, and information retrieval

Tech Usage in Sparked
Crowdsourcing Crowdsourcing is the backbone of the Sparked application. We use the crowd to submit new mobile ideas. Users can submit ideas with a title, description, and image. Ideas are submitted through a PHP form and stored in a MySQL database. Crowdsourcing is also used to find the best ideas in the submissions. Users can browse through ideas and upvote or downvote them as they go.
Human Computation Human computation is the idea of using human beings to complete tasks rather than using software. Here we use human computation through CrowdFlower to check user-submitted images. CURL requests are used to send information between crowdflower and our application.
Information Retrieval Since the course is called Information Retrieval, we need to include an information retrieval component in our application. We used a "more like this" query to allow users to see if ideas similar to their already exist in the the itunes app store. We crawled the itunes app store and imported the data into our own SOLR db.

These aspects come together in the application diagram shown here

User Interface at a Glance

The interface is fully responsive thanks to the html template we used.

The homepage shows users where to submit new ideas or vote on existing ones.

The submission page has a few fields and allows for image uploading.

Deploying

Clone the repository in your web directory

git clone https://github.com/alex9311/Information-Retrieval.git
MySQL Database

You will need a SQL server and existing DB to connect to. Your credentials should be put in the database/db_creds.php file.

Once this is done, you can set up the database by running the reset script with

php database/resetdb.php

This will set up the Sparked schema in your database.

You can now populate the DB with some toy data.

SOLR Database

TODO - this is complicated

Contents of Repo

Directory Description
app This is where the Sparked app lives. It is a simplistic responsive PHP web app.
database This is where the scripts used to manage the Sparked MySQL database live. Using these scripts, developers can wipe the database or repopulate it with a given CSV file. The database can also be easily exported to CSV format here.
documents This directory contains all of the documents created for the purpose of our course. This includes our "project idea document" and our final presentation slideshow.
evaluation-similarity-check When developing the application, we weren't sure what tool we wanted to use for our similarity checker. This directory contains the work we did and code used to evaluate Dandelion, Lucene, and RapidMiner.
itunes-app-store-crawler This directory contains an iTunes web crawler we used and modified for our purposes. We used this application data to test our search functionality. This directory also contains the script needed to load our SOLR DB with the csv returned by our app store crawler.

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TU Delft, Masters Software Technology, Information Retrieval, 3rd Quarter 2015

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