ICML 2017 WORKSHOP CALL FOR CONTRIBUTIONS Interactive Machine Learning =======================
Workshop Overview ---------------- Retrieval techniques operating on text or semantic annotations have become the industry standard for retrieval from large document collections. However, traditional information retrieval techniques operate on the assumption that the user issues a single query and the system responds with a ranked list of documents. In recent years we have witnessed a substantial growth in text data coming from various online resources, such as online newspapers, blogs, and specialized document collections (e.g. arXiv and Semantic Scholar). Traditional information retrieval approaches often fail to provide users with adequate support when browsing such online resources, hence in recent years there has been a growing interest in developing new algorithms and design methods that can support interactive information retrieval. The aim of this workshop is to explore new methods and related system design for interactive data analytics and management in various domains, including specialized text collections (e.g. legal, medical, scientific) as well as for various tasks, such as semantic information retrieval, conceptual organization and clustering of data collections for sense making, semantic expert profiling, and document recommender systems. Of interest, also, is probabilistic and machine learning formulations of the interactive information retrieval task above and beyond the simple "language models" framework developed in the information retrieval community. The primary audience of the workshop are researchers and practitioners in the area of interactive and personalised system design as well as interactive machine learning, document analysis and information retrieval, both from academia and industry. The topics of interest include but are not limited to: * Is it necessary to develop fundamentally new approaches and evaluation strategies for interactive machine learning and interactive information retrieval? * Personalization and user modeling for interactive machine learning * Online learning methods for interactive machine learning and information retrieval * System design for interactive machine learning and information retrieval * Interactive machine learning methods for specialized text collections, e.g. legal, medical, scientific * Novel machine learning problems and algorithms to support interactive information retrieval * Challenges for large scale interactive machine learning Organisers --------- Dorota Glowacka, Petri Myllymaki (University of Helsinki) and Wray Buntine (Monash University) Submission --------- We encourage submissions of work in progress, concept papers, and generally material that will stimulate discussion and vigorous exchange of ideas on promising research directions. We solicit submissions of full papers (up to 8 pages), which will be presented either as contributed talks or posters, as well as extended abstracts or short papers up to 4 pages long in the ICML format. Submit at: https://easychair.org/conferences/?conf=iml20170 Important datesICML 2017 WORKSHOP CALL FOR CONTRIBUTIONS Interactive Machine Learning ======================= Workshop Overview ---------------- Retrieval techniques operating on text or semantic annotations have become the industry standard for retrieval from large document collections. However, traditional information retrieval techniques operate on the assumption that the user issues a single query and the system responds with a ranked list of documents. In recent years we have witnessed a substantial growth in text data coming from various online resources, such as online newspapers, blogs, and specialized document collections (e.g. arXiv and Semantic Scholar). Traditional information retrieval approaches often fail to provide users with adequate support when browsing such online resources, hence in recent years there has been a growing interest in developing new algorithms and design methods that can support interactive information retrieval. The aim of this workshop is to explore new methods and related system design for interactive data analytics and management in various domains, including specialized text collections (e.g. legal, medical, scientific) as well as for various tasks, such as semantic information retrieval, conceptual organization and clustering of data collections for sense making, semantic expert profiling, and document recommender systems. Of interest, also, is probabilistic and machine learning formulations of the interactive information retrieval task above and beyond the simple "language models" framework developed in the information retrieval community. The primary audience of the workshop are researchers and practitioners in the area of interactive and personalised system design as well as interactive machine learning, document analysis and information retrieval, both from academia and industry. The topics of interest include but are not limited to: * Is it necessary to develop fundamentally new approaches and evaluation strategies for interactive machine learning and interactive information retrieval? * Personalization and user modeling for interactive machine learning * Online learning methods for interactive machine learning and information retrieval * System design for interactive machine learning and information retrieval * Interactive machine learning methods for specialized text collections, e.g. legal, medical, scientific * Novel machine learning problems and algorithms to support interactive information retrieval * Challenges for large scale interactive machine learning Organisers --------- Dorota Glowacka, Petri Myllymaki (University of Helsinki) and Wray Buntine (Monash University) Submission --------- We encourage submissions of work in progress, concept papers, and generally material that will stimulate discussion and vigorous exchange of ideas on promising research directions. We solicit submissions of full papers (up to 8 pages), which will be presented either as contributed talks or posters, as well as extended abstracts or short papers up to 4 pages long in the ICML format. Submit at: https://easychair.org/conferences/?conf=iml20170 Important dates ------------- Submission deadline: 9 June 2017 Acceptance notification: 16 June 2017 Workshop date: 10 or 11 August 2017 ------------- Submission deadline: 9 June 2017 Acceptance notification: 16 June 2017 Workshop date: 10 or 11 August 2017 Prof. Wray Buntine Course Director for Master of Data Science Monash University http://topicmodels.org
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