Titlebook: Information Retrieval; 9th Russian Summer S Pavel Braslavski,Ilya Markov,Olessia Koltsova Textbook 2016 Springer International Publishing S

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to discuss the overlap between drug-related crime and otherThis brief sheds light on evolving drug markets and the county lines phenomenon in the British context.?Drawing upon empirical research gathered in the field between 2012-2019 across two sites, Scotland’s West Coast and Merseyside in Englan

Nomogram

Contextual Search and ExplorationRather than retrieving a “document” on the topic of a “query,” the rich contextual information allows for tailored search and recommendation, and solve user’s complex tasks by taking into account complex constraints, exploring options, and combining individual answers into a coherent whole. This pap

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A Short Survey on Online and Offline Methods for Search Quality Evaluationalidate these models by comparing their output to observations in nature. A scientific field consists then merely by a collection of hypotheses that could not been disproved (yet) when compared to nature. Evaluation plays the exact key role in the field of information retrieval. Researchers and prac

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Data Science for Massive Networkse start with giving a historical overview indicating the most influential milestones in the development of networks. Then we consider how real-life massive datasets can be represented in terms of networks describing some examples and summarizing properties of such networks. We also discuss cases of

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Models of Random Graphs and Their Applications to the Web-Graph Analysismodel, then proceed with the most recent models describing the topology and growth of the Internet, social networks, economic network, and biological networks, and finally present several applications of these models to the problems of search and crawling.

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Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extractionews headlines, such corpus could be applied for information extraction and text summarization. We collect news headlines from different agencies in real-time; paraphrase candidates are extracted from the headlines using an unsupervised matrix similarity metric. We provide user-friendly online interf

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Using Levenshtein Distance for Typical User Actions and Search Engine Switching Detectione used to group search sessions. We show that the groups obtained are meaningful and can be used to estimate the probability of user switching to another search engine. The proposed method was tested on real data provided by Yandex for 2012 Yandex Switching Detection Challenge and allowed for high A