22 citations · 33 across the 5 of their papers we have counts for
6 papers
IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search
Rachith Aiyappa, Ishita Khan, Chester Palen-Michel +4
Understanding user intent is fundamental to delivering relevant search results in e-commerce. However, substantial fraction of real-world queries are under-specified (e.g., "watch"…
A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies
Jetlir Duraj, Ishita Khan, Kilian Merkelbach +1
Search in e-Commerce is powered at the core by a structured representation of the inventory, often formulated as a category taxonomy. An important capability in e-Commerce with hie…
AI Guided Accelerator For Search Experience
Jayanth Yetukuri, Mehran Elyasi, Samarth Agrawal +4
Effective query reformulation is pivotal in narrowing the gap between a user's exploratory search behavior and the identification of relevant products in e-commerce environments. W…
Cascade Codes For Distributed Storage Systems
Mehran Elyasi, Soheil Mohajer
A novel coding scheme for exact repair-regenerating codes is presented in this paper. The codes proposed in this work can trade between the repair bandwidth of nodes (number of dow…
Determinant Codes with Helper-Independent Repair for Single and Multiple Failures
Mehran Elyasi, Soheil Mohajer
Determinant codes are a class of exact-repair regenerating codes for distributed storage systems with parameters (n, k = d, d). These codes cover the entire trade-off between per-n…
A Probabilistic Approach Towards Exact-Repair Regeneration Codes
Mehran Elyasi, Soheil Mohajer
Regeneration codes with exact-repair property for distributed storage systems is studied in this paper. For exact- repair problem, the achievable points of (α,β) tradeoff match wit…