In 2017, I wrote a discovery piece for a decentralized publishing ecosystem built on the Ethereum blockchain (Doug from Phin, Fran from Firebrand and I were working on a solution to decentralize the publishing industry to put more value and control back in the hands of authors, publishers and readers). […]
I recently helped a company build out and mature their data and MLOps platform. The company had a team of data scientists and engineers who had found product market fit with a deep learning based product. As with most lean, customer driven approaches, they hadn’t over capitalized on infrastructure too […]
Posting this for posterity, built around 2012-2013. The startup that was Bookish (joint venture between Simon & Schuster, Penguin and Hachette) is no longer around, but we built out some reasonable book data processing infrastructure, along with a search and recommendation engine. I ran engineering and architected the overall solution. […]
This post originally appeared on the Kadaxis blog. So you’ve found the perfect keywords for a book, how do you know if they’re effective? Off-page keywords aren’t visible to potential customers, so assessing whether they’ll work or not takes a completely different approach to assessing visible metadata (title, description, etc.) about a […]
BISG Annual Meeting 2017 at The Harvard Club, NYC. This post originally appeared on the Kadaxis blog. I participated in a panel on “Rights, Metadata and Marketing” at the recent BISG 2017 Annual Meeting. Here are my responses to the questions I was asked: WHAT IS CURRENTLY WORKING FOR KADAXIS? Our approach […]
This is webinar I ran in conjunction with the BISG (Book Industry Study Group). I provide a breakdown on how Amazon search works and how to optimize keywords and on page data attributes to maximize search rank.
In order to close a deal with a large UK publisher, I had to put forward an analysis of the legality of scraping Amazon (UK). Below is the content of my case which was ultimately accepted by the client’s legal team. [Company] and Web Scraping [Company] provides keywords to publishers […]
There’s been much recent conjecture on whether book sales can be predicted by text analysis alone. My company, Kadaxis, has dedicated the past few years to machine learning research and product development for the publishing industry. In our early days, we set out to build an algorithm to predict bestsellers, […]
This article originally appeared on the Kadaxis blog. Crafting effective keywords to add to a book’s metadata, could be one of the highest return marketing activities to increase online sales potential. This post examines why keywords are so important, and how they affect discovery on Amazon. Let’s break the logic down:• […]
