Teamed up with Amsterdam SEA, we are organizing DIR 2021 1/2 on four consecutive Fridays. Sign up for the lightning talks and present your work to the large SEA + DIR audience.
I'm thrilled to announce that I am starting a new role at the IRLab at the University of Amsterdam as a tenure-track Assistant Professor in IR. I will continue working on conversational IR and recommender systems.
@UvA_Amsterdam@irlab_amsterdam
🚨 #SOTA Alert 🚨
Congratulations to G13Destroyer for their latest submission to XMRec @WSDMSocial Cup!
The SOTA nDCG@10 is now pushed to 0.6574, and HR@10 to 0.7604.
#WSDM2022#RecSys
Amazing turnout in our #WSDM2022 Cup on cross-market recommendation. Today, we have received the highest number of submissions so far (33 and counting). Looking forward to more submissions and an amazing workshop at @WSDMSocial@ekanou@hamedrab@AliVardasbi@irlab_amsterdam
Six weeks on, and here are some statistics of our ongoing XMRec #WSDM2022 Cup:
- 240 participants,
- 77 active teams,
- 468 submissions,
- Highest nDCG@10: 0.6554.
Many thanks to the participants & look forward to more submissions! The competition ends on January 17, 2022.
Super excited to share key stats of the first week of XMRec #WSDM2022 Cup:
- 79 registered participants,
- 14 active teams,
- 56 submissions.
- Highest nDCG@10: 0.6215 (compared to last week's 0.5025!)
Many thanks to the participants, and look forward to more submissions!
What if you have lots of data in one country but very little in another country? Can you use the data to improve product recommendation for eCommerce? Check out our WSDM Cup shared task and our paper.
Paper: https://t.co/Ssq9RJlhZt
#RecSys2021#WSDM2022#SIGIR2022#CIKM2021
Looking for an interesting shared task on recommender systems and win a $2K cash prize?
Check out our XMRec WSDM Cup: https://t.co/qBnw5aTGF7
You can submit your runs via Codalab: https://t.co/IdNktEPqag
@maxharp3r says the experience from MovieLens has shown that how important it is to have a large and publicly available dataset for the continuation of a research field.
#PanelDiscussion
Cross-market explainability can be challenging as the explanation should consider the differences between source and target market users. Also, some terms such as "nostalgia" refer to different experiences among different communities.
#PanelDiscussion