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base fork: vivekbhagwat/explore-emulator
base: 67f1604e33
...
head fork: vivekbhagwat/explore-emulator
compare: 185c6e61ca
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0  report_notes → notes_for_report.txt
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36 report/report.tex
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+\documentclass[11pt]{article}
+
+\setlength{\oddsidemargin}{0pt}
+\setlength{\textwidth}{470pt}
+% \usepackage{amssymb}
+\usepackage{amsfonts}
+% \usepackage{amsmath}
+\usepackage{latexsym}
+% \usepackage{epsfig}
+\usepackage{listings}
+
+\title{Venue recommendations based on foursquare checkins for a group}
+
+\author{Vivek Bhagwat\\
+{\tt vsb2110@columbia.edu}
+}
+
+\begin{document}
+
+\maketitle
+
+\section{Abstract}
+When in a new area with a group of friends, it can be difficult to figure out what restaurant, bar, or caf\'e would be the best to go to ---
+and which place you would like the most. Foursquare has a rich set of data about venues and data about where individuals like to go.
+Using this individual's history and information about the venue, a simple recommendation engine can be built. While foursquare
+has built a recommendation engine called ``explore,'' this system has no ability to analyze data specific to the group. However,
+these data are not necessarily hard to collect --- it simply requires all users involved supplying access to their checkin history.
+Once these data are acquired, similar techniques can be used to training on a group's data as an individual's.
+
+\section{Data}
+Foursquare has an easy-to-use API with
+
+
+
+\end{document}
+

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