Category: Recommendations

Personal Shopping Subscription Services – Friend or Foe?

By Susan Briggs in Featured, Personalization, Recommendations on February 15, 2013

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As a busy working mom, the idea of subscription services that sends cute clothes to my house every month is really compelling – talk about a personalized customer experience!  I tend to buy the same brands.  My size and shape are relatively stable (and hopefully will remain so).  And, although I love to look fashionable, I have little time to shop. ... Read More »

Fashion Forward Personalization

By Marti Tedesco in Customer Experience, eCommerce, Recommendations on October 4, 2012

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Last month, London held its annual Fashion Week.  While many in Silicon Valley may have let this pass without notice, a few details on Mashable caught my eye.  As you know, Baynote personalizes all kinds of content recommendations as well as product recommendations on anyone’s site.  So, when I read a quote from Burberry Chief Creative Officer Christopher Bailey that Burberry is “now as much a ... Read More »

Connecting Everything

By Dan Darnell in Personalization, Recommendations on October 1, 2012

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In this great article: Why Burberry Wants to Bring the Online Experience to Stores, and Not Vice Versa, Christopher Bailey, chief creative officer of Burberry, talks about their new flagship store and their vision of digital in-store integration. Burberry’s flagship store incorporates many digital elements to improve the in-store experience. Great examples includes RFID tags embedded in items so that when ... Read More »

Quantity Matters

By Javed Masqood in Recommendations on September 27, 2012

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It is said that imitation is the most sincere form of flattery.  If that’s true, and you want to maximize the impact of your web page recommendations, the easiest way to do that is to copy the best practices that successful retailers have learned over time. With nearly 6 years of experience and over 300 unique brands deployed, Baynote and our customers have learned a lot about ... Read More »

Consistency is Key

By Javed Masqood in Personalization, Recommendations on September 20, 2012

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It is said that imitation is the most sincere form of flattery.  If that’s true, and you want to maximize the impact of your web page recommendations, the easiest way to do that is to copy the best practices that successful retailers have learned over time. With nearly 6 years of experience and over 300 unique brands deployed, Baynote and our customers have learned a lot ... Read More »

Placement is Everything

By Javed Masqood in Recommendations on September 5, 2012

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It is said that imitation is the most sincere form of flattery.  If that’s true, and you want to maximize the impact of your web page recommendations, the easiest way to do that is to copy the best practices that successful retailers have learned over time. With nearly 6 years of experience and over 300 unique brands deployed, Baynote and our customers have learned a ... Read More »

SVForum Panel Focuses on Innovation in Personalization Tech

By Dan Darnell in Events, Onsite Search, Recommendations on August 31, 2012

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Last night I participated in a panel discussion for the Web Apps & E-Commerce SIG of the SVForum in Palo Alto on Recommendation Engines and Brand Commerce . I was joined on the panel by Brian Johnson from eBay, Paul Twohey from Ness, and Vik Singh from Slice Data. Each of us had a chance ... Read More »

Emergent Ants

By Scott Brave in Onsite Search, Recommendations on July 24, 2012

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Ants are pretty dumb creatures.  Watch one, all by itself for a few minutes and you’ll quickly get the impression that it’s wandering around aimlessly.  And you’d pretty much be right. Ant colonies on the other hand, are brilliant.  There are few organisms on this planet as relentless and efficient in pursuit of their goals of discovering, transporting, and consuming resources.  Just ask anyone here in California ... Read More »

Machine Learning: Lessons from High School Algebra

By Scott Brave in Personalization, Recommendations on July 12, 2012

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As I mentioned in the first part of this two part post, “Intelligence is the ability to generalize and learn useful patterns from data and/or experiences.”  Another common mistake when trying to train machines against big data sets is what’s known as over-fitting.  To explain this one, I need to take you back to high school algebra for a brief minute.  ... Read More »

Machine Learning: The Omniscience vs. Intelligence Fallacy

By Scott Brave in Featured, Personalization, Recommendations on July 10, 2012

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Misconceptions of machine learning can run fairly deep.  People not only have unrealistic expectations of what a machine can automatically figure out, but truly impossible ones.  I sometimes think of this as the omniscience vs. intelligence fallacy.  Intelligence is the ability to generalize and learn useful patterns from data and/or experiences.  This is what we humans do naturally every day.  But intelligence requires data. Very often the data that the ... Read More »