Michel Manago is CEO of Kiolis, a Paris-based startup that develops software for personalization and recommendation. I interviewed Michel about the MyCoachNutrition project, which applies case-based reasoning and collaborative filtering technologies to guide subscribers to eat and exercise well. It strikes me that the project combines 3 of Michel’s keenest interests: algorithms, starting companies, andContinue reading “Better Know a Data Scientist”
Category Archives: Recommendation System
Locayta’s UI for Personalization
Tasks I want dinner, but first I need a recipe and groceries. And that means I need to find my car keys. If this was Apple software, the UI would be all about dinner and I’d be feeling it was all so stylish. If it were legacy IBM, the UI would be all about placesContinue reading “Locayta’s UI for Personalization”
Locayta’s Personalization Approach
Whether you choose bread with a few large holes, many small holes, or densely packed with no holes depends on how you plan to use it, as well as your habits and preferences. Your choice of personalization solution is a choice of the holes you’ll live with (or try to fill), as well as aContinue reading “Locayta’s Personalization Approach”
Maxymiser’s Support for Personalization
Maxymiser is a digital marketing suite with solutions for optimization, testing and personalization. Products include MaxTEST, MaxSEGMENT, MaxPREDICT, MaxRECOMMEND, MaxSOCIAL, MaxMOBILE and MaxINSIGHT. These connect across a common UI and platform. The company was founded in 2006. It is headquartered in New York with offices in Chicago, Edinburgh, Dnipropetrovsk, Dusseldorf, London, Munich and San Francisco.Continue reading “Maxymiser’s Support for Personalization”
Personalization Basics: Maxymiser Customer Profile
Maxymiser is a digital marketing suite with solutions for optimization, testing and personalization. Products include MaxTEST, MaxSEGMENT, MaxPREDICT, MaxRECOMMEND, MaxSOCIAL, MaxMOBILE and MaxINSIGHT. These connect across a common UI and platform. The company was founded in 2006. It is headquartered in New York with offices in Chicago, Edinburgh, Dnipropetrovsk, Dusseldorf, London, Munich and San Francisco.Continue reading “Personalization Basics: Maxymiser Customer Profile”
Apptus Personalization for Aimless and Directed Shoppers
Apptus is a software company intent on eliminating irrelevant information in communications with customers, via the tactics and technologies of personalization. It offers self-learning solutions for digital marketing and retailing. Aptus’s eSales solution offers targeted search and navigation, recommendations, merchandising and promotional content. Apptus was founded in Sweden in 2000, and now has clients inContinue reading “Apptus Personalization for Aimless and Directed Shoppers”
Leading Practices for Digital Marketing
A Survey can deliver insights, even if it doesn’t deliver a clear directive on practices. Adobe’s survey on optimization offers insights, concrete data, and some tantalizing hints—and also provokes a few important questions. As Kevin Lindsay observed in his latest Adobe blog post, optimization investments deliver competitive advantage. To whit: 61% of Adobe Target customersContinue reading “Leading Practices for Digital Marketing”
The 3 Things Your Recommendation Solution Should Tell You – but Doesn’t
I am not talking about Reporting: canned reports are about as appealing as canned spinach. I am talking about communicating with all staff impacted by recommendations. The solutions typically have a dashboard to communicate the information the vendor thinks is important, presented as… online, navigable reports. No dashboard has just the information you need. YouContinue reading “The 3 Things Your Recommendation Solution Should Tell You – but Doesn’t”
75% of Marketers Think Recommendations are Good Enough
If recommendations are so important, why don’t companies invest in making them more effective? In a recent survey by Adobe, 40% of ecommerce respondents have automated recom-mendations on their sites, or are in the throes of implementing them. Roughly 1 in 5 media and financial services companies are investing in automated recommendations. Yet, half ofContinue reading “75% of Marketers Think Recommendations are Good Enough”
3 Automation Questions for Recommendations Solution Providers
A decade ago I watched vendors of site search solutions teach customers new skills: how to manage synonyms and common misspellings, how to identify poorly performing searches and improve them, how to change their content to produce better search results, how to create and manage rules to control search, how to offer the right navigationContinue reading “3 Automation Questions for Recommendations Solution Providers”
On Target 