10 citations · 10 across the 12 of their papers we have counts for
8 papers · 1 filter
Enhancement of E-commerce Sponsored Search Relevancy with LLM
Md Omar Faruk Rokon, Andrei Simion, Weizhi Du +3
Sponsored search plays a crucial role as a revenue stream for search engines, wherein advertisers competitively bid on keywords that align with the users' search queries. The task…
Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI
Md Omar Faruk Rokon, Weizhi Du, Zhaodong Wang +1
Sponsored search plays a crucial role in e-commerce revenue generation, where advertisers strategically bid on keywords to capture the attention of users through relevant search qu…
AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search
Md Omar Faruk Rokon, Shasvat Desai, Hong Yao +1
How can we generate high-quality relevance annotations at scale without the cost and delays of human labeling? Relevance annotations are the backbone of search ranking systems whic…
Unified Multi-Task Relevance Modeling for E-Commerce: Comparing Task Routing Architectures Across LLMs and Cross-Encoders
Md Omar Faruk Rokon, Jhalak Nilesh Acharya, Shasvat Desai +2
How can we build a single relevance model that handles six different entity pair relationship types in e commerce from query product matching to product type similarity when each t…
Scaling Dense Retrieval with LLM-Annotated Training Data: Structured Mining and Progressive Curriculum for E-Commerce Sponsored Search
Md Omar Faruk Rokon, Shasvat Desai, Jhalak Nilesh Acharya +9
How can we generate high-quality training data for dense retrieval models at production scale, without relying on click signals or manual annotation? This question is critical for…
Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
Shasvat Desai, Md Omar Faruk Rokon, Jhalak Nilesh Acharya +4
Modern search systems rely on a fast first stage retriever to fetch relevant items from a massive catalog of items. Deployed search systems often use user engagement signals to sup…
Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains
Zhaodong Wang, Weizhi Du, Md Omar Faruk Rokon +6
Sponsored search in e-commerce poses several unique and complex challenges. These challenges stem from factors such as the asymmetric language structure between search queries and…
RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data
Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis +1
How can we expand the tensor decomposition to reveal a hierarchical structure of the multi-modal data in a self-adaptive way? Current tensor decomposition provides only a single la…