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Overview of the CLEF 2019 Personalised Information Retrieval Lab (PIR-CLEF 2019).

, , , , , and . CLEF, volume 11696 of Lecture Notes in Computer Science, page 417-424. Springer, (2019)

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Identifying Useful and Important Information within Retrieved Documents., and . CHIIR, page 365-368. ACM, (2017)A query description model based on basic semantic unit composite petri-nets for soccer video analysis., , , and . Multimedia Information Retrieval, page 143-150. ACM, (2004)Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embedding., , and . CLEF, volume 10456 of Lecture Notes in Computer Science, page 97-103. Springer, (2017)Building a Domain-specific Document Collection for Evaluating Metadata Effects on Information Retrieval., , , and . LREC, European Language Resources Association, (2010)Development of an Annotated Multimodal Dataset for the Investigation of Classification and Summarisation of Presentations using High-Level Paralinguistic Features., , and . LREC, European Language Resources Association (ELRA), (2018)Term Conflation and Blind Relevance Feedback for Information Retrieval on Indian Languages., , and . FIRE, volume 7536 of Lecture Notes in Computer Science, page 295-309. Springer, (2010)DCU@Morpheme Extraction Task of FIRE-2012: Rule-based Stemmers for Bengali and Hindi., , and . FIRE, page 12:1-12:5. ACM, (2013)Context-driven Dimensionality Reduction for Clustering Text Documents., , and . FIRE, page 1-7. ACM, (2015)Simulation of Within-Session Query Variations Using a Text Segmentation Approach., , and . CLEF, volume 6941 of Lecture Notes in Computer Science, page 89-94. Springer, (2011)Retrieval of similar chess positions., , and . SIGIR, page 687-696. ACM, (2014)