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20182026
most citedExpansion via Prediction of Importance with Contextualization

72 citations · 242 across the 23 of their papers we have counts for

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16 papers · 1 filter

cs.IR2026

A Picture of Agentic Search

Francesca Pezzuti, Ophir Frieder, Fabrizio Silvestri +2

With automated systems increasingly issuing search queries alongside humans, Information Retrieval (IR) faces a major shift. Yet IR remains human-centred, with systems, evaluation…

cs.IR2026

DRAMA: Domain Retrieval using Adaptive Module Allocation

Pranav Kasela, Marco Braga, Ophir Frieder +3

Neural models are increasingly used in Web-scale Information Retrieval (IR). However, relying on these models introduces substantial computational and energy requirements, leading…

cs.IR2025

GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries

Hrishikesh Kulkarni, Surya Kallumadi, Sean MacAvaney +2

Many e-commerce search pipelines have four stages, namely: retrieval, filtering, ranking, and personalized-reranking. The retrieval stage must be efficient and yield high recall be…

cs.IR20248 cited

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors

Hrishikesh Kulkarni, Nazli Goharian, Ophir Frieder +1

Sparse retrieval methods like BM25 are based on lexical overlap, focusing on the surface form of the terms that appear in the query and the document. The use of inverted indices in…

cs.IR2022

Caching Historical Embeddings in Conversational Search

Ophir Frieder, Ida Mele, Cristina Ioana Muntean +3

Rapid response, namely low latency, is fundamental in search applications; it is particularly so in interactive search sessions, such as those encountered in conversational setting…

cs.IR20214 cited

TAR on Social Media: A Framework for Online Content Moderation

Eugene Yang, David D. Lewis, Ophir Frieder

Content moderation (removing or limiting the distribution of posts based on their contents) is one tool social networks use to fight problems such as harassment and disinformation.…