output
20102026
most citedNode Embedding over Temporal Graphs

160 citations

31 papers

cs.LG2026

Representation Curriculum: Stagewise Training for Robust Ranking and Allocation

Ehsan Ebrahimzadeh, Sina Baharlouei, Abraham Bagherjeiran

Ranking in digital marketplaces is a dynamic exposure-allocation mechanism: displayed items shape discovery trajectories and success events logged by the platform to update future…

cs.IR2025

BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations

Ashirbad Mishra, Jinyu Zhao, Soumik Dey +3

In the domain of sponsored search advertising, the focus of Keyphrase recommendation has largely been on exact match types, which pose issues such as high management expenses, limi…

cs.IR2025★ 1 cited

To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay

Soumik Dey, Hansi Wu, Binbin Li

E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales). The relevance of advertiser keyphrases p…

astro-ph.IM2025

The X-ray Integral Field Unit at the end of the Athena reformulation phase

Philippe Peille, Didier Barret, Edoardo Cucchetti +279

The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable ta…

cs.IR2024★ 1 cited

GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation

Ashirbad Mishra, Soumik Dey, Marshall Wu +5

Online sellers and advertisers are recommended keyphrases for their listed products, which they bid on to enhance their sales. One popular paradigm that generates such recommendati…

cs.IR2024★ 4 cited

Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation

Ashirbad Mishra, Soumik Dey, Jinyu Zhao +3

Keyphrase Recommendation has been a pivotal problem in advertising and e-commerce where advertisers/sellers are recommended keyphrases (search queries) to bid on to increase their…