Information Retrieval Journal

Papers
(The median citation count of Information Retrieval Journal is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Evaluation metrics for measuring bias in search engine results24
Shallow pooling for sparse labels22
A comparison of automatic Boolean query formulation for systematic reviews22
Neural ranking models for document retrieval17
Using word semantic concepts for plagiarism detection in text documents13
Search results diversification for effective fair ranking in academic search12
sMARE: a new paradigm to evaluate and understand query performance prediction methods11
Topic-independent modeling of user knowledge in informational search sessions10
On cross-lingual retrieval with multilingual text encoders9
Improved reviewer assignment based on both word and semantic features9
Improving question answering for event-focused questions in temporal collections of news articles8
Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation7
Measurement of clustering effectiveness for document collections6
Structural textile pattern recognition and processing based on hypergraphs4
FarsNewsQA: a deep learning-based question answering system for the Persian news articles4
Open-domain conversational search assistants: the Transformer is all you need4
Efficient query processing techniques for next-page retrieval3
Shop by image: characterizing visual search in e-commerce3
Highlighting exact matching via marking strategies for ad hoc document ranking with pretrained contextualized language models3
Multimodal video retrieval with CLIP: a user study3
CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation3
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance3
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities3
CEQE to SQET: A study of contextualized embeddings for query expansion3
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