For now, I will keep the site closed for registrations; but everyone can independently invite people to join using the following link to generate an invite:
If you know someone who wants to join this instance, then please do give them an invite!
Consider the instance open for those who know anyone on IDF.social.
"Sense of community" and an initial seed of some 40 IR researchers should be enough to keep those spammers out of here and still grow the club!
Computer scientist 👨🏫 with main focus on Information Retrieval 📄
Also interested in Data Science / Big Data 💾
In the previous millennium a PhD on Multimedia Databases 🎥 (Yes that was a respectable research topic once upon a time pre-birdsite!)
#sigir is my academic home.
Entrepreneur: co-founder of #spinque (spinque.com)
Knowledge frees humanity.
Thank you, corpus of Visual Metaphores!
Inaugural toots on idf.social using a photo of lunch with Nick Belkin after attending the now Dr. Hugo Huurdeman defense.
[CfP] SustaiNLP: First Workshop on Simple and Efficient Natural Language Processing https://sites.google.com/view/sustainlp2020
Remember when a Google #search used to lead you somewhere?
Now it increasingly just keeps you on Google. In fact, Google results take up 62.6% of the first screen of search results in a sample of 15,000 searches.
#Google is building a walled garden that encompasses some of the most accessed information on the internet with no recourse for businesses who are suddenly finding themselves on the wrong side, cut off from their users.
Blog post! Mastodon 3.2:
Share with your friends!
@nfuhr keynote at SIGIR 2020.
Slides online at:
5. Ignore results for collections when there are no baseline from independent research;
6. Test collections wear out! Expected maximum result increases with number of runs (on see leaderboards! -- Carterette's SIGIR paper)
7. Conferences and journals need to accept papers with "null" results. (to prevent the busy beaver / the p-hackers) Reproducibility is important: Publish your code and data
8. Evaluation initiatives are important (but they should only run proper measures and methods)
Norbert Fuhr's recommendations for gaining scientific knowledge from experiments:
1. Do not use MRR or MAP;
2. Instead of relative improvements, regard the effect size!
3. For multiple significance tests, use a correction, such as Bonferoni or Tukey's HSD (NB comparing only to the 2nd best method does not help!)
4. There are no significant improvements for re-usable test collections! (hypotheses have to be formulated before the work)
Sometimes you discover an older song by a fav artist that is really nice for late night work:
Great new album by Courtney Marie Andrews. Take this song #np for example:
Met Tim Knol de lanen in!
Jelmer Mommers: Terugkeren naar het ‘normaal’ van vóór corona is waanzin. We mogen het niet laten gebeuren - https://decorrespondent.nl/11378/terugkeren-naar-het-normaal-van-voor-corona-is-waanzin-we-mogen-het-niet-laten-gebeuren/1247046652082-0f77f66c
Pinafore v1.18.0 released! https://github.com/nolanlawson/pinafore/releases/tag/v1.18.0 (thread)
@nfuhr or, is this a wannabe - I'd understand, I wannabe Norbert too 😉
Exciting new accountname in the fedishpere: @nfuhr
Will it be the great Salton Award winner, this wise man from Duisburg-Essen?
Great album to correct exams on!
(yes, on my "free" Saturday...)
Indie music 🎸
The "unofficial" Information Retrieval Mastodon Instance.
Goal: Make idf.social a viable and valuable social space for anyone working in Information Retrieval and related scientific research.
Everyone welcome but expect some level of geekiness on the instance and federated timelines.