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IBM recently launched a new application for its smart Watson platform, called
IBM Watson Trend, to help customers find out which products are in trend. The
app predicts the hottest shopping trends for the upcoming holiday season and
outlines the reason behind these top trends.
Currently, the app is only on the iOS store and on desktop computers. Using
APIs from IBM’s Watson developer platform, the app analyzes keywords and
sentiments, including abilities such as concept tagging and taxonomy
classification to sift through the enormous amount of data accumulated in its servers. IBM promised to make the app
more advanced by adding geographical and linguistic data to the analysis. We are
not sure why it is not launched on the Android platform yet.
The app provides insight behind the top holiday trends and products to
uncover patterns and determine why people are choosing certain brands and
products associated with them. The Watson app employs machine learning and
natural language processing to go through more than 10,000 sources of
unorganized information across a variety of social media channels, blogs, media
websites, forums, comments, reviews and ratings. Sentiment analysis is an
important aspect as it uses language to determine whether the mention of the
product is beneficial or degrading to the trend score, as compared to
traditional keyword frequency analysis.
"We envision families kicking back on the couch after Thanksgiving and using
it to target their holiday shopping," said Jason Norwood, one of the inventors
of the application, "The idea behind this app came from an internal innovation
session. We started dreaming about a scenario where individuals like us get some
purchase advice from social media. What if we could harness all of those
conversations, literally tens of millions of them, and use the power of Watson
to understand those conversations, the meaning and tone, and serve those insights to shoppers at the
holiday season?"
There are three distinct trend groups – content, context and sentiment. Each
group is assigned a Trend Score on the scale of 0 to 100 based on the size and
rate of growth of a particular piece of information. Users can find out the top
100 trending products and the reason for their popularity across three
categories as of now: consumer electronics, toys, and health & fitness.
IBM introduced the Watson developer platform to researchers in August of
2014. Later announcing Watson HQ in Manhattan, Watson was finally added to the
company’s cloud service, Bluemix. The original Watson system had 1 natural
language based API, however, today it over 30 different APIs across 50 different
technologies ranging from speech, vision and data analysis.
Blower motor IBM hopes that consumers will turn to their mobile phones instead of desktops
in order to determine holiday trends, meanwhile demonstrating to companies how
the Watson platform can be used in a variety of different industries. They
predict mobile traffic to increase by 57%, while sales to increase by more than
36%.
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