The 15th meeting of the Forum for Information Retrieval Evaluation 2023 will be held at Goa University, Panjim, India. It will be an in-person conference. We are seeking submissions of high-quality and original papers. Submissions will be reviewed by experts on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality, and the overall contribution to the field of IR/NLP. Authors are also encouraged to describe work in progress and late-breaking research results.

Topics of interest include, but are not limited to

    Search and Ranking: Research on core algorithmic topics in IR:
        Queries and query analysis (e.g., Query understanding, query reformulation, query representation, etc.)
        Retrieval models and ranking (e.g., Cross lingual IR with a particular focus on Indian languages, ranking algorithms, language models, retrieval algorithms, learning to rank, etc.)
        Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling, etc.)
    Domain Specific: Research on domain specific IR:
        Applications in Social Media (e.g., Hate speech recognition, social network in search, etc.)
        Applications in Finance (e.g., Stock market prediction, other applications in finance)
        Applications in Legal (e.g., Patent discovery, verdict summarization, other applications in law)
        Applications in Health (e.g., Biomedical IR, medicine, genomics, other applications in health)
        Other applications and domains
    Recommendation Systems: Research on Recommendation systems, content representation, and content analysis:
        Recommendation algorithms (e.g., Content based filtering, collaborative filtering, etc.)
    Document representation and analysis (e.g., Summarization, text representation, sentiment analysis, etc.)
    Knowledge acquisition (e.g., Information extraction, event extraction, etc.)
    Multimodal and Crossmodal IR/Recsys model
        Visual Question Answering
        Image search/recommendation
        Multimodal document summarization
    Bridging the gap between AI and IR:
        Supervised/Weakly supervised deep neural networks
        Word Embedding Methodologies and its applications
        Question answering
        Conversational systems
        Machine Translation
    Evaluation: Research on evaluation of IR systems:
        User centric evaluation (e.g., User experience, user engagement, etc.)
        System centric evaluation (e.g., Evaluation metrics)
    Explainability, Fairness, and Trust of IR/Recsys models
        Explainable models for ranking, text classification/clustering, summarization, etc.
        User studies for explainable AI (XAI) applied to IR/Recsys
        Issues related to fairness and trustworthiness of IR/Recsys models