Harvard Computational Science and Engineering Capstone Project, Fall 2020

Team members: Catharine Wu, Royce Yap, Zhenru Wang

Disclaimer: The views and opinions expressed in this blog are those of the authors and are not endorsed by Harvard or Alignable.

In partnership with Alignable

Introduction

With over 5 million members spread across more than 30,000 local communities, Alignable aims to help business owners and operators establish their online presence, grow their networks by finding peers with related professional interests, and build valuable relationships through referrals and recommendations.

To achieve this, we want to ensure that businesses on Alignable are able to grow their networks as quickly and effectively as possible. So the key question here…


This article was produced as part of the final project for Harvard’s AC295 Fall 2020 course

Authors: Martin Jin, Shuying Ni, Catharine Wu, Ruochen Zhao

Yelp provides a plethora of information on business reviews and ratings, yet Yelp users may be lost in the massive amount of options they are facing and unable to find relevant information efficiently, even after applying various filters. Therefore, it is necessary to have a business recommendation system for users to quickly find a restaurant or fitness center they would enjoy.

The problem we are trying to solve is two folded. Our first task is…

Catharine Wu

Data Science Master student at Harvard

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