TIR'19 2019 - 16th International Workshop onTechnologies for Information Retrieval

- Theory. Retrieval models, similarity measures, formal analysis
- Evaluation. Corpus construction, experiment design, performance measures,
reproducibility, benchmarking of Information Retrieval and Machine Learning
algorithms
- Information Quality and Provenance. Text quality assessment, text reuse,
trust and author reputation, provenance analytics
- Natural Language Technologies for IR Applications. Opinion mining, text
summarization and simplifi-cation, question answering, discourse and argument
mining
- Personalization. Personalized retrieval, context detection, user profiling,
user modeling
- Web Search. Ranking and recommendation, query classification and segmentation,
vertical search, dynamic taxonomy generation
- Social Media Analytics. People analytics, social network analysis, trend analysis
- Semantic Web. Meta data analysis and tagging, knowledge extraction,
inference and linking
- Machine Learning. Representation learning for text mining
- Explanations. Explainable IR models, result explanations, evaluation of
explanations