output
20102026
most citedLearning Intents behind Interactions with Knowledge Graph for Recommendation

579 citations

Showing 2025Show all

5 papers · 1 filter

cs.IR2025★ 1 cited

Progressive Refinement of E-commerce Search Ranking Based on Short-Term Activities of the Buyer

Taoran Sheng, Sathappan Muthiah, Atiq Islam +1

In e-commerce shopping, aligning search results with a buyer's immediate needs and preferences presents a significant challenge, particularly in adapting search results throughout…

cs.CL2025★ 3 cited

Understanding Gender Bias in AI-Generated Product Descriptions

Markelle Kelly, Mohammad Tahaei, Padhraic Smyth +1

While gender bias in large language models (LLMs) has been extensively studied in many domains, uses of LLMs in e-commerce remain largely unexamined and may reveal novel forms of a…

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…

cs.IR2025★ 1 cited

Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search

Soumik Dey, Wei Zhang, Hansi Wu +2

E-commerce sellers are recommended keyphrases based on their inventory on which they advertise to increase buyer engagement (clicks/sales). Keyphrases must be pertinent to items; o…