#sigir2023 search results
My #sigir2023 📸 dump! Thank you @SIGIRConf for organizing such a wonderful conference! I am going to miss beautiful Taiwan😢
Have you ever thought about how much water did you use to train your neural ranker ?😳🤯😵💫 I am shocked ! @guidozuc presenting the Overlooked Impact of Water Consumption of Information Retrieval Models #SIGIR2023
Today we had the pleasure of listening to a virtual talk from @HarrieOos about counterfactual learning to rank for search and recommendation. It was great to hear about some of his upcoming work that will also be presented this year at #sigir2023
The Information Retrieval Experiment Platform (TIREx) integrates ir_datasets, ir_measures, PyTerrier, and TIRA for • standardized, • reproducible, • scalable, and ultimately • 𝗯𝗹𝗶𝗻𝗱𝗲𝗱 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀 in IR. Preprint: webis.de/publications.h… #sigir2023 🧵
Excited to start off @SIGIRConf today by this word cloud of paper submissions at @acm_ictir presented by @maliannejadi ! #SIGIR2023
Congratulations @claclarke @guglielm0f and the rest of the awesome authors for winning the best paper award @acm_ictir 🤩 very well deserved ! #SIGIR2023
Friends, I am happy that I share our #SIGIR2023 paper on learning transparent user profiles for text recommendation! 📜 arxiv.org/abs/2304.04250 With our model, LACE: Users can examine + interact with their profiles and interactively improve their recommendations. 🧵🧵🧵
The Archive Query Log (AQL) is the first large log of archived search result pages (SERPs) Mined from @internetarchive, it contains · 356 million queries · 166 million SERPs from · 550 search engines of · 25 years Preprint: arxiv.org/abs/2304.00413 #SIGIR2023 #internetarchive 🧵
Honored to receive the @ACMSIGIR Early Career Excellence in Research and Excellence in Community Engagement awards. #SIGIR2023
Happy to see @anxopvila work accepted at #sigir2023! In this work with @AlvaroBarreiroG and Silvia López-Larrosa, we present a resource that may help improve the grounding and explainability of predictive models for depression.
🎉Congratulations!🎉 BEST PAPER AWARD 📢📢 We are delighted to inform that this paper will be presented in Paper Session 22 at the 201A, TICC. The presentation is scheduled from 10:45 AM to 11:00 AM. We extend a warm invitation for you to join this session! #SIGIR2023 #Taipei
Come join me in the poster session today @SIGIRConf! I will be happy to talk about our paper “Quantifying Ranker Coverage of Different Query Subspaces” w/ @amin_bigdelii @radin_hrad and @ebrahim_bagheri #SIGIR2023
Super excited to announce that our demo paper "pybool_ir: A Toolkit for Domain-Specific Search Experiments" w/@martinpotthast was accepted to #sigir2023 🎉 The main feature so far is a complete re-implementation of the PubMed search engine (i.e., indexing+query syntax)
🚨🚨🚨Tutorial Recording Alert!🚨🚨🚨 We just released the recording of our tutorial titled: Unbiased Learning to Rank: On Recent Advances in the Foundations and Applications youtu.be/fcqCkjgOnJ8 Originally presented at the #SIGIR2023, #FIRE2023 and #WSDM2024 conferences.
youtube.com
YouTube
Unbiased Learning to Rank: On Recent Advances in the Foundations and...
🚀 When #Transformers meet Graph Neural Networks (#GNNs)! Introducing our 🌟GFormer🌟: A new paradigm for Recommender Systems. 📄 [#SIGIR2023] 🔥Graph Transformer for Recommendation🔥 📚 Paper: arxiv.org/abs/2306.02330 👨💻 Code: github.com/HKUDS/GFormer
Really enjoyed presenting our #SIGIR2023 work on "Safe Counterfactual Learning to Rank" at @sharechatapp ML seminar. Thanks for the invite @olivierjeunen :) Link to the paper: drive.google.com/file/d/1GL285Q….
Last week, @shashank27392 gave a great talk about their #SIGIR2023 paper on "Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization" at @sharechatapp. The recording is here, have a look! Co-authors: @HarrieOos @mdr youtube.com/watch?v=xlsmhO…
youtube.com
YouTube
Safe Deployment for Counterfactual Learning to Rank by Shashank Gupta...
Last week, @shashank27392 gave a great talk about their #SIGIR2023 paper on "Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization" at @sharechatapp. The recording is here, have a look! Co-authors: @HarrieOos @mdr youtube.com/watch?v=xlsmhO…
youtube.com
YouTube
Safe Deployment for Counterfactual Learning to Rank by Shashank Gupta...
Check out this great survey from @dmalitesta et al. at the @sisinflab! 👉 40+ Reviewed papers 👉 Performance comparison with reproducibility fw 👉 MM #RecSys formalization #RecSys2023 #Sigir2023
Our preprint "Formalizing #Multimedia #Recommendation through #Multimodal Deep Learning" is now out on arXiv! arxiv.org/pdf/2309.05273… (1/2)
Congrats to PhD students @SalemiAlireza7 @JuanAPizzorno for their Best Student Paper w/Assistant Professor @HamedZamani at #SIGIR2023, “A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering.” Read the paper: arxiv.org/pdf/2304.13649…
Had a blast at #sigir2023 in Taiwan (also it was my first conference)!! Awesome people and great food. Thanks @SIGIRConf
【📢News】 Video recordings are available now. All SIGIR 2023 participants can sign-in to EventX platform, and you can find videos by selecting “On-demand” tab under “Sessions” menu. The video will open for access until end of 2023. #sigir2023
【📢News】 Photo Library is available now. With the privacy concerns, you can find photos by sign-in to EventX platform, click the “Photo Library” at Lobby. #sigir2023
Thrilled and honored to see our work mentioned in the keynote presentation by a renowned scholar, Dr. Ryen White, at #sigir2023!
We have presented and had great discussions about our paper "Generative Query Reformulation for Effective Adhoc Search" at #sigir2023 #genir workshop. Paper available at arxiv.org/abs/2308.00415
Welcome to check our #sigir2023 paper🥳 dl.acm.org/doi/10.1145/35… When we started this project, ChatGPT had not yet appeared. This paper may not have been so attractive in the ChatGPT era. But I still want to share our insights from this project, in hopes more people will learn
An innovative mathematical model evaluates the performance of Artificial Intelligence systems in conversational search. The research was awarded of Best Paper Award Honorable Mention at #sigir2023 @unipisa @ntonellotto t.ly/_zTxx
Last week, we presented two posters at #SIGIR2023 during the Reaching Efficiency in Neural Information Retrieval (#ReNeuIR) and Generative Information Retrieval (#GenIR) workshops. For those who missed the presentations, here are the links to the posters and related papers. 1/5
We had a great time in Taipei attending #sigir2023 - thanks to the organisers for their efforts and to the generous and kind locals who ensured that we had a great time during the conference - now time to go home!
谢谢台北 (Thank you, Taipei!) I had a great time. Taiwan has amazing people, great food, and top-quality Capoeira! #sigir2023
My #sigir2023 📸 dump! Thank you @SIGIRConf for organizing such a wonderful conference! I am going to miss beautiful Taiwan😢
Had a blast attending #SIGIR2023 this past week in Taiwan! Got a lot of good feedback on my research in the Doctoral Consortium, and great to catch up with friends and make new ones :)
📢 Could not make it to #SIGIR2023! But I have written a short blog post to report some statistics on the #SIGIR2023 accepted papers. rahmanidashti.github.io/blog/2023/sigi… Taking inspiration from Hamed (@HamedZamani) and Jimmy (@lintool) blog posts for previous years. @ACMSIGIR @SIGIRConf
My #sigir2023 📸 dump! Thank you @SIGIRConf for organizing such a wonderful conference! I am going to miss beautiful Taiwan😢
Excited to start off @SIGIRConf today by this word cloud of paper submissions at @acm_ictir presented by @maliannejadi ! #SIGIR2023
Congratulations @claclarke @guglielm0f and the rest of the awesome authors for winning the best paper award @acm_ictir 🤩 very well deserved ! #SIGIR2023
Come join me in the poster session today @SIGIRConf! I will be happy to talk about our paper “Quantifying Ranker Coverage of Different Query Subspaces” w/ @amin_bigdelii @radin_hrad and @ebrahim_bagheri #SIGIR2023
Have you ever thought about how much water did you use to train your neural ranker ?😳🤯😵💫 I am shocked ! @guidozuc presenting the Overlooked Impact of Water Consumption of Information Retrieval Models #SIGIR2023
Glad to hear that Prof Lin mentioned our work on #RecSys evaluation during the Q&A of his #SIGIR2023 keynote!
We are presenting our demo paper “A preference Judgement Tool for Authoriative Assessment” now in the poster session @SIGIRConf #SIGIR2023
Hello again from the #sigir2023 DC chairs - myself and @DrCh0le from the #ECIR2023 welcome reception. Notifications released. Ended up accepting 11 out of 17 submissions. A big thanks to the reviewers and congratulations to all the students. We'll be allocating mentors soon.
Distribution of scores given by students and senior pc members on reviewing @acm_ictir papers. Surprisignly students tend to be more positive ! #SIGIR2023
I will attend #sigir2023 and present two papers, both related to #RecSys. The perspectives paper is on 24 July (1PM) and the TOIS paper is 25 July (9AM). My school has a few faculty position openings. If you want to know more, feel free to talk to me.
#SIGIR2023 preprint: arxiv.org/abs/2210.04149 Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
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