Titlebook: Information Retrieval; 8th Russian Summer S Pavel Braslavski,Nikolay Karpov,Dmitry I. Ignatov Textbook 2015 Springer International Publishi

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Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fie tutorial was specially prepared for RuSSIR 2014, the covered FCA topics include Information Retrieval with a focus on visualisation aspects, Machine Learning, Data Mining and Knowledge Discovery, Text Mining and several others.

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A Large-Scale Community Questions Classification Accounting for Category Similarity: An Exploratory s. We investigate several approaches to measure similarity between categories: the share of identical questions, language models, and user activity. The results show that the proposed approach is promising.

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1865-0929 en at the event, and8 revised papers from the school participants.The papers focus onvarious aspects of information retrieval... .978-3-319-25484-5978-3-319-25485-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Mucosa

Modelling Movement of Stock Market Indexes with Data from Emoticons of Twitter Usersllion tweets downloaded from February 13, 2013 to May 19, 2014. As a forecasting technique, we tested the Support Vector Machine (SVM), Neural Networks and Random Forest, which are commonly used for prediction tasks in finance analytics. The results of applying machine learning techniques to stock market price prediction are discussed.

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Towards Crowdsourcing and Cooperation in Linguistic Resourcestially drive the annotators’ interest. This survey on crowdsourcing taxonomies and cooperation in linguistic resources provides recommendations on using cooperation in existent genres of crowdsourcing and an evidence of the efficiency of cooperation using a popular Russian linguistic resource created through crowdsourcing as an example.

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Document Analysis and Retrieval Tasks in Scientific Digital Librariess. Indeed, it is now possible to automate several labor-intensive tasks related to documents such as categorization and entity extraction. Consequently, the application of machine learning techniques for various large-scale IR tasks has gathered significant research interest in both the ML and IR co

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Online Experimentation for Information Retrievalh engines. The most common form of online experimentation, A/B testing, is widely used in practice, and has helped sustain continuous improvement of the current generation of these systems..As online experimentation is taking a more and more central role in IR research and practice, new techniques a

继而发生

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Web as a Corpus: Going Beyond the ,-gram, and thus research has focused on sub-problems. Even so, the field was stuck with manual rules until the early 90s, when computers became powerful enough to enable the rise of statistical approaches. Eventually, this shifted the main research attention to machine learning from text corpora, thus tr