Tag: AI

Unveiling “Recommender Algorithms”: A Comprehensive Guide on Recommendation Systems | October 25 2025, 17:36

I finally released a book on #RecSys! It’s called Recommender Algorithms, where I’ve compiled over 50 recommendation algorithms with detailed mathematical derivations, thorough explanations, and code examples.

https://www.testmysearch.com/books/recommender-algorithms.html

It all started early this spring in Germany, when I attended an ACM conference and sketched out the first structure of the book while analyzing the talks from the RecSys track. And now, just six months later, it has come to life.

Why did I write it? Because neither online nor in print is there a single, accessible resource that deeply explores recommendation algorithms of various types and purposes. There are articles focused on small subsets, but collecting and systematizing approaches—from foundational methods to the very latest—seems to have never been done before. I don’t know if I succeeded, but I’d love to hear your feedback.

Please like & share!

P.S. Click at READ SAMPLE to see the first 40 pages. The table of contents is there as well.

https://www.testmysearch.com/books/recommender-algorithms.html

https://www.testmysearch.com/books/recommender-algorithms.html

AI Salesbots at Your Door: The Future of Autonomous Presentations | October 16 2025, 15:47

I’m telling the manager now, why do we need to present our AI solution, it’s AI, let it present itself. I imagine that in the near future, bots will be knocking on doors to sell themselves (and maybe not just themselves), while the door will have built-in bot protection.

Yuki’s Predictable Howling Cycles | October 16 2025, 03:02

Yuki is like clockwork. Twice a year, he enters a mode of howling. Just like a wolf at the Moon. Last year, the autumn howl started on October 15-16, 2024, and ended on the 20th. Today, October 15, 2025, it began. Prior to this

* March 15, 2022,

* October 27, 2022,

* February 2, 2023,

* April 1, 2024, lasted four days.

* October 15-16, lasted 4 days

Update: October 19, 2025, it ended

Yuki, we have everything recorded!

From Vision to Bookshelf: Launching “Recommender Algorithms” | October 13 2025, 11:54

Finally, I have released a book! It is called Recommender Algorithms — it contains more than 50 recommendation algorithms with mathematical explanations, detailed descriptions, and code examples.

It all started early in the spring in Germany, when I attended the ACM conference and made the first sketches of the book’s structure, analyzing reports on the RecSys stream. And now, six months later, the book has been published.

Why did it appear? Because there is no single, accessible source either online or in print where the recommendation algorithms of various types and purposes are thoroughly examined. There are articles focused on narrow aspects, but to collect and systematize the developments — from fundamental to the most recent — until now, it seems, no one has managed to do it for some reason. Maybe no one needed to. Suddenly, I found I needed to. I don’t know if I succeeded, but I am eager for your feedback.

Available on Amazon and Barnes and Noble. There is a Russian automatic translation (surprisingly, but very decent), but I do not know how to sell it yet.

https://www.testmysearch.com/books/recommender-algorithms.html?FB

(This is not my only book, but today — just about this one.)

Privacy Pitfalls of Outlook Notifications During Screen Sharing on macOS | October 06 2025, 14:05

Microsoft has one very nasty thing with Outlook for MacOS, which for some reason nobody tries to fix. If you have a meeting in 30 minutes, Outlook reminds you with a popup showing the upcoming meetings, where it “highlights” these meetings. Well, in my case, there’s no secret here, I could even share my screen during that time. But it would be nice if such notifications didn’t appear while screen sharing, especially while recording, because screen sharing goes through Teams, which is part of the same package as Outlook.

But what’s worse is something else. If you try to CLOSE this notification window while screen sharing on MacOS (especially if the recording is on), it causes the whole Outlook with all the emails there to pop up. And there might be things there that the viewers shouldn’t see. That is, by _closing_ the window, you suddenly reveal the titles of email messages. Which is completely unexpected (well, until you step on these rakes, then it’s not unexpected anymore).

AI Microphone Chaos: Blending Office Sounds into Unexpected Poetry | October 01 2025, 15:44

Bought myself an AI microphone that listens to everything around and provides summaries. Decided to test it once. With it, you can’t even watch reels with the mic turned off on your computer, because it tries to merge and summarize everything it hears 😉

“..The team methodically moved through complex comparisons, but unexpected phrases like ‘Watch the video back if you didn’t notice’ and ‘Don’t be a sucker’ created a quiet, almost poetic dissonance—as if the universe whispered ‘Let it be’ amid spreadsheets and sprint tickets….”

Introducing the AI-Powered Text-to-Diagram Generator | September 30 2025, 20:57

While working on a book, I realized what kind of product I’m missing. It’s an AI diagram generator based on textual descriptions.

The idea is that the master document for the diagram is text. This textual description can be (and should be) quite detailed, so the generated diagram exactly matches the author’s vision. The diagram itself is not edited. That is, it can be edited – moving circles around, but ideally, after making changes, the system should update the text, generating from which will result in what the user adjusted.

The result — the diagram — should correspond as closely as possible to the description. If it does not match the description because, for example, it’s impossible to make a triangle with three obtuse angles, the system should do its best and provide a verbal response about what didn’t work. The user can then modify the task so that the system complies and produces the diagram correctly.

But then we understand that the author might have randomly achieved something that they liked with their flawed text. And if regenerated, it might turn out differently, and not necessarily better. Therefore —

You could ask the system to generate a diagram description from the diagram, which, if inputted back into the diagram generator, would result exactly in what the description was generated from. Yes, this description would be more verbose and complex, but it would more reliably describe the result.

So, from this point, you are no longer working with the diagram. You are working with text. If a diagram is needed — you simply compile the text into a diagram and it turns out as needed. But you don’t even work directly with the text. You work with this diagram-description text through an LLM, asking it to add some block, and the text changes, but changes in a way that everything doesn’t suddenly shift.

The final diagram should be in an object form, from which raster (PNG) or vector (SVG, EPS) images can be created.

It would also be great if such a system could take existing diagrams or diagram templates so that it could borrow styles and existing conventions on how to display what.

So, these are my fantasies. If anyone has ideas on how to implement this — let’s discuss 🙂