Top Tweets for #LearningToRank
Don't miss our live training in Bratislava, during the #CommunityOverCodeEU conference!
We will dive into neural (#VectorBased) search and Large Language Model integration, passing by classification and #LearningToRank.
Reserve your ticket now: https://t.co/6uzNawUxSf
What a week!
@CarissaVeliz and I delivered @EthicalAlliance #AIEthics certification.https://t.co/T7FnD6YaVF
@renekrie delivered #SearchWisdom workshop #Topologies, #HybridSearch #learningtorank and more
@CBLaCalzada and @manuela_ena presented new equipment.
Improve the relevance of search at Miro 🔎
We're looking for a Senior Engineer with experience in the search domain.
Please feel free to reach out to me if you want to know more!
https://t.co/EP2FEphXMq
#SearchEngineering #SearchRelevance #LearningToRank #hiring
Very excited to talk at #MumbaiFOSS happening at @iitbombay
From attending lectures at IITB in 2013 to actually delivering a talk there in 2023... Life has come full circle!!
#elasticsearch #learningtorank #ltr #iitb
📢 Our next speaker for the #MumbaiFOSS conference is @IVaibhavMalpani
Vaibhav will be talking about building a search engine on ElasticSearch using Machine Learning.
Join us for the talk on 11th March.
Book your seats at https://t.co/SnJl7TJYcU
Whether it's a #SearchEngine, recommendation system, or other #InformationRetrieval application, #LearningToRank can help you deliver the most relevant results to your users.
Choose our upcoming training to take your skills to the next level: https://t.co/Nu64eT6J05
#LTR
More #HaystackConf videos released today: first we have Roman Grebennikov @public_void_grv : Building an open-source online learn-to-rank engine https://t.co/FUP25Nttol #ltr #learningtorank #metarank #opensource
There are a lot of @ApacheSolr Learning to Rank features, but none of them can directly manage categorical features.
Let's see an overview of all the #LearningtoRank features and how is it possible to manage categorical features at the moment.
https://t.co/Y0kCGvKa9G
Curious about what is the most appropriate approach to handle queries (and relevance labels) when splitting data?
Check this analysis made by Ilaria Petreti, IR/ML Engineer at @SeaseLtd !
https://t.co/Yzj4UNKqIL
#datascience #learningtorank #machinelearning
Do you know you can download for #free our booklet about 5 Best Practices for Learning to Rank?
Our experts collected these missing keys to perfect your #LearningtoRank models, and we are giving away these tips for free!
Download it here: https://t.co/PAp2XmOVD4
I'm happy to announce that I've completed the Search with ML course!
Big thanks to Daniel Tunkelang and @gsingers for making this course! Also, it would have been way less fun without such amazing classmates, #thankyou!
#ml #learningtorank #nlp https://t.co/3juEmSGN1l
We are ready for the London Information Retrieval Meetup!
join us on zoom by registering on our meetup page
https://t.co/98rCe6VeDW
#meetup #freeevent #informationretrieval #sease #softwareengineer #searchengineer #searcharchitect #machinelearning #learningtorank #datascience
Our CTO #DataScience Speaker Series welcomes @HarrieOos of @Radboud_Uni for a video talk w/ our #AI & #NLProc engineers & researchers on advances in #search & #recommendationsystems using unbiased #LearningToRank based on position-biased click feedback
https://t.co/l31eA1undL
I am pleased to announce I am going to talk about the Apache Solr Interleaving contribution for Learning To Rank at Haystack LIVE! the next 24th of March!
Grab your (free) ticket now!
#solr #informationretrieval #learningtorank #…https://t.co/vLxomuWUc8 https://t.co/pNL2eNPiyk
How does the #LearningtoRank query work in #Solr? How can we obtain the required features extraction time from the Solr qTime?
Let's discover the answers to these questions in our latest blog post.
https://t.co/t4ByGGyViE
#informationretrieval #apachesolr #LTR @ApacheSolr
Petites ressources en vrac pour comprendre un peu mieux le #learningtorank #ltr #ia
Thése de @bilelmoulahi
https://t.co/do894bwzO4
Slide de prés : https://t.co/m0ZN1aoY80
Autre document : https://t.co/r253dwQe92
Dataset : https://t.co/Ic4Bpewwxk
https://t.co/HUr64KMH8b
1/2
Part 4 of Ilaria Petreti 's journey into "A Learning to Rank Project on a Daily Song Ranking Problem" is online!
https://t.co/FOMvOL39bZ
#learningtorank #spotify #lambdaMART #featureengineering
Don't have time to watch recordings on our Youtube Channel? Never mind! Take a look at all the slides from the talk "Explainability for Learning to Rank", from Ilaria Petreti and Anna Ruggero .
https://t.co/eMPSEUlW2k
#meetup #learningtorank #informationretrieval
Here we are with the video of the first talk, from Ilaria Petreti and Anna Ruggero: Explainability for Learning to Rank.
Don't miss this overview of the most popular explainability techniques and their application in #learningtorank
https://t.co/AEfmVjHwya
Are you ready for the next London Information Retrieval Meetup (ONLINE)?
We have the date: 30 March 2021
and we have the first technical talk!
Join us and register here: https://t.co/uE2Z9KpL6o
#informationretrieval #learningtorank #meetup #searchrelevance #searchengineer
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