Smartphone Recommendation Engine


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A few years ago, while I was looking to buy my first smartphone, I noticed that everyone was trying to sell one to me based on device specifications. No doubt, the specifications, features and functions are important, but it is not always clear how they translate into customer satisfaction with the smartphone after the purchase.

I realized that customer reviews are much better sources of information to help me choose the right smartphone for me. They allowed me to understand better how the phones perform in specific circumstances and to decide which one is the best for my personal priorities.

The only problem with this approach is the time and effort it takes to find customer reviews for the smartphones I am interested in, read through many stories and distill the critical information to help me make the right decision. I had really good experiences with every product I chose using this approach. Here is an example: Five years ago, I was shopping for a small but powerful notebook for business travel. My technologically superior friend was shopping for a similar device at the time, so I asked for his recommendation. He chose a very popular brand with great specifications and reasonable price. I decided to check the reputation of the recommended notebook and found it to be spotty at best. I spent 58 hours researching customer reviews before making my choice, and it still works great for me, 5 years later. My friend had all sorts of reliability problems with his, and is on his third notebook now.

Now to the good news. You may have heard about the “Big Data” technology that helps governments and large companies to decipher huge volumes of data to produce meaningful and useful information. They use the technology for national security, market trading and marketing research applications, to name a few. Well, now this technology can help consumers to make better smartphone selections based on their personal priorities and massive volumes of customer reviews in seconds.

Here is the site where you can find unbiased smartphone recommendation based on Opinion Mining of customer reviews and your personal priorities –

Republished with author's permission from original post.

Gregory Yankelovich
Gregory Yankelovich is a Technologist who is agnostic to technology, but "religious" about Customer Experience and ROI. He has solid experience delivering high ROI projects with a focus on both Profitability AND Customer Experience improvements, as one without another does not support long-term business growth. Gregory currently serves as co-founder of, the software (SaaS) used by traditional retailers and CPG brand builders to create Customer Experiences that raise traffic in stores and boost sales per customer visit.


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