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Iadh Ounis

SIGIR 2026×2检索与知识对齐与偏好效率与系统安全
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0 一作 · 2 篇 · SIGIR 2026

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2026 顶会论文

2
作者位次 #2/3SIGIR 2026Poster· Information Retrieval (Short)

APR: Adaptive Personalised Reranking For Conversational Search

Shen Dong · Iadh Ounis · Debasis Ganguly

摘要

Conversational search systems help users satisfy complex information needs through natural language interactions, yet incorporating user preferences into ranking remains challenging. Existing rewrite-then-rerank pipelines capture topical relevance but struggle with fine-grained constraints such a...

效率与系统检索与知识对齐与偏好OpenReview
作者位次 #3/3SIGIR 2026Poster· Information Retrieval (Short)

Auditing Query Drift: Do Users Actually Benefit from Pseudo-Relevance Feedback?

Zeyan Liang · Graham McDonald · Iadh Ounis

摘要

Pseudo-Relevance Feedback (PRF) aims to improve performance, but it can suffer from query drift, creating asymmetric impacts across queries. Current Selective PRF (sPRF) strategies attempt to mitigate this by predicting when PRF will help, but they rely on offline metrics that may not reflect act...

检索与知识对齐与偏好安全OpenReview

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