A machine-based process to recommend related books based on proprietary algorithms.

Like so many of these articles about technology in the library, it breathlessly jumps from “maybe this would be a good tool for the library” to “libraries will be using this this year”. I am pretty sure we won’t be using this particular tool at my library this year, but text analysis of this kind will be of interest.

It occurs that this might be applied to cataloguing as well although I expect the same sort of success as with OCR (Optical Character Recognition). “There to eat lemons. Axe gravy soup!”.

‘Grace notes for ebooks’: A new Trajectory for discoverability

Published January 09, 2015. By Porter Anderson

The Bookseller on the stands in London this morning reports that Bowker — the ProQuest-owned US ISBN agency and publishing research firm — is in final talks for a partnership with a company called Trajectory.

The aim at Bowker is to offer authors and small publishers a new way to generate book recommendations for their readers.”

“Imagine you’re a library,” Bryant says, “and you’re eager to increase your funding. Your funding is based on the number of books you check out. Imagine being proactive and able to email your library patrons and say, ‘Hey, you read this book, and we think there are some other books you might be interested in,'” based on the kind of textual analysis that Trajectory’s system can provide.

“I think we’ll see a lot of libraries try to redefine themselves this year,” Bryant says, “and start to be more proactive, reaching out to patrons to give them an edge.”