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X.Shen | Jason @hyper_air

Machine Learning Scientist @Amazon | graduate researcher @CarnegieMellon. Specialized in Recommender systems |Generative AI | Personalization

Joined December 2016
  • Tweets 13
  • Following 423
  • Followers 85
4 Photos and videos
Presenting our work accepted by @cikm2023! Curious how a sequential recommender captures users' shopping intents from stochastic shopping behaviors? We present G-STO, a graph regularized stochastic Transformer. Released at @AmazonScience #Transformers #RecommenderSystem #ai
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@amazon @AmazonScience 🫶
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X.Shen | Jason@hyper_air
7 Aug 2023
At the @kdd_news. Join us today at the 19th Intl Workshop on Mining and Learning with Graphs (MLG)! @mlgworkshop
X.Shen | Jason@hyper_air
17 Jul 2023
Our work accepted at KDD’s MLG workshop @kdd_news 🎉 Our work learns customers’ shopping journey into a graph representation while distilling a prior knowledge graph for explicit personalizations. Released at @AmazonScience amazon.science/publications/… #KDD2023 #ai #RecommenderSystem
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X.Shen | Jason@hyper_air
6 Aug 2023
I am glad that our work got selected! So excited. Thanks for spending time for reviewing our work! @cikm2023
ACM CIKM 2023@cikm2023
5 Aug 2023
We started sending notifications. Some tracks are doing some final checks but authors should receive their decision soon. #CIKM2023
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X.Shen | Jason@hyper_air
17 Jul 2023
Our work accepted at KDD’s MLG workshop @kdd_news 🎉 Our work learns customers’ shopping journey into a graph representation while distilling a prior knowledge graph for explicit personalizations. Released at @AmazonScience amazon.science/publications/… #KDD2023 #ai #RecommenderSystem

Topological representation learning for e-commerce shopping behaviors

Learning compact representation from customer shopping behaviors is at the core of web-scale E-commerce recommender systems. At Amazon, we put great efforts into learning embedding of customer...

amazon.science
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X.Shen | Jason@hyper_air
14 Jul 2023
Join us at #KDD2023 for our novel research discovery in recommender system at #Amazon
SIGKDD 2026@kdd_news
14 Jul 2023
📢 Just released: Paper schedules for #KDD2023! Plan ahead and don't miss a beat. 🔍Research track: kdd.org/kdd2023/research-tra… 📈ADS Track: kdd.org/kdd2023/ads-track-pa… Dive into the conference hype and get a sneak peek by watching their promo videos on YouTube: youtube.com/playlist?list=PL…
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Announcing our accepted paper by #KDD2023! Our #NLP based #RecommenderSystem , leverages text representations to actively capture correlation between user preference and item features Paper: arxiv.org/pdf/2305.13731 Code: github.com/JiachengLi1995/Re… #AI #DeepLearning #MachineLearning
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@kdd_news many thanks! 🎉
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X.Shen | Jason@hyper_air
11 Jul 2023
🎉It’s now officially released at @AmazonScience amazon.science/publications/…

Text is all you need: Learning language representations for sequential recommendation

Sequential recommendation aims to model dynamic user behavior from historical interactions. Existing methods rely on either explicit item IDs or general textual features for sequence modeling to...

amazon.science
X.Shen | Jason@hyper_air
4 Jul 2023
Announcing our accepted paper by #KDD2023! Our #NLP based #RecommenderSystem , leverages text representations to actively capture correlation between user preference and item features Paper: arxiv.org/pdf/2305.13731 Code: github.com/JiachengLi1995/Re… #AI #DeepLearning #MachineLearning
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X.Shen | Jason retweeted
ABC News Politics
@ABCPolitics
14 Dec 2016
NEW: Clinton leads Trump by more than two percentage points in popular vote, per AP: Clinton: 65,788,583 (48.3%) Trump: 62,955,363 (46.2%)
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