4 citations · 8 across the 4 of their papers we have counts for
5 papers
LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data
Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink +11
The LongEval lab focuses on the evaluation of information retrieval systems over time. Two datasets are provided that capture evolving search scenarios with changing documents, que…
LongEval at CLEF 2025: Longitudinal Evaluation of IR Model Performance
Matteo Cancellieri, Alaa El-Ebshihy, Tobias Fink +10
This paper presents the third edition of the LongEval Lab, part of the CLEF 2025 conference, which continues to explore the challenges of temporal persistence in Information Retrie…
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation
Petra Galuščáková Romain Deveaud, Gabriela Gonzalez-Saez, Philippe Mulhem +3
LongEval-Retrieval is a Web document retrieval benchmark that focuses on continuous retrieval evaluation. This test collection is intended to be used to study the temporal persiste…
Learning Term Discrimination
Jibril Frej, Phillipe Mulhem, Didier Schwab +1
Document indexing is a key component for efficient information retrieval (IR). After preprocessing steps such as stemming and stop-word removal, document indexes usually store term…
Toward Word Embedding for Personalized Information Retrieval
Nawal Ould-Amer, Philippe Mulhem, Mathias Gery
This paper presents preliminary works on using Word Embedding (word2vec) for query expansion in the context of Personalized Information Retrieval. Traditionally, word embeddings ar…