IBM’s Watson Technology Powering New (Free) Holiday Shopping Trends and Products Forecast App for iOS
The new Watson Trends app was released today by IBM for the iOS platform today.
A web version is also available at: https://ibmwatsontrend.com/#/
Learn more about the app and technology here.
IBM today launched the IBM Watson Trend App, a new way for shoppers to understand the reasons behind the top trends of the holiday season and also predict the hottest products before they sell out.
The IBM Watson Trend app distills the sentiment of tens of millions of online conversations by scouring 10,000 sources across social media sites, blogs, forums, comments, ratings and reviews. Unlike other apps or lists that provide a static ranking of “hot” products, the Watson app reveals how consumers feel about the products they are considering or have purchased.
Using Watson’s understanding of natural language and machine learning technologies, the app uncovers consumer preferences to pinpoint patterns and trends to reveal why people are choosing certain products or brands. The app also uses predictive analytics to forecast if a particular trend is a fleeting fad or will continue to remain strong.
To uncover insights behind the top holiday trends and products, Watson’s natural language engine aggregates insights into distinct trend groups: content, context and sentiment. Each group is given a relative daily Trend Score, ranging from 0 to 100, based on the impact (size of the conversation) and the momentum (the rate of growth of the conversation).
The Watson Trend App uses a combination of API capabilities from IBM’s open Watson Developer platform including Sentiment Analysis, Keyword Extraction, Concept Tagging and Taxonomy Classification. In the future, IBM Watson Trend will continue to evolve with the addition of new capabilities including geographic and language data, and an increased level of personalization that caters to each consumer’s unique interests and preferences.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.