Read e-book online Advances in Information Retrieval: 38th European Conference PDF

By Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello

ISBN-10: 3319306707

ISBN-13: 9783319306704

ISBN-10: 3319306715

ISBN-13: 9783319306711

This ebook constitutes the refereed court cases of the thirty eighth eu convention on IR examine, ECIR 2016, held in Padua, Italy, in March 2016.

The forty two complete papers and 28 poster papers offered including three keynote talks and six demonstration papers, have been rigorously reviewed and chosen from 284 submissions. the quantity comprises the end result of four workshops in addition to four educational papers additionally. Being the finest ecu discussion board for the presentation of recent learn leads to the sector of knowledge Retrieval, ECIR encompasses a wide variety of themes equivalent to: social context and information, computer studying, query answering, score, review technique, probalistic modeling, evaluate matters, multimedia and collaborative filtering, and plenty of more.

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Read or Download Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings PDF

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Extra info for Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

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Such a graph may be represented as a square matrix M of order |V |, whose rows and columns correspond to nodes in the graph and whose cell values mi,j , where mi,j > 0, indicate the presence of an edge of weight mi,j between nodes Vi and Vj . Following the recommendation in [20] we link all nodes to themselves with mi,i = 1. Other edge weights are computed based on commentcomment similarity features described in the next section below. Once such a graph is constructed, MCL repeats steps 11–13 in the Algorithm until the maximum number of iterations iter is reached7 .

Joost Boonzajer Flaes, Stevan Rudinac, and Marcel Worring 818 824 Demos Scenemash: Multimodal Route Summarization for City Exploration. . . . Jorrit van den Berg, Stevan Rudinac, and Marcel Worring 833 Exactus Like: Plagiarism Detection in Scientific Texts . . . . . . . . . Ilya Sochenkov, Denis Zubarev, Ilya Tikhomirov, Ivan Smirnov, Artem Shelmanov, Roman Suvorov, and Gennady Osipov 837 Jitter Search: A News-Based Real-Time Twitter Search Interface . . . . . Flávio Martins, João Magalhães, and Jamie Callan 841 XXXVIII Contents TimeMachine: Entity-Centric Search and Visualization of News Archives .

In: SIGIR, pp. R. fr Abstract. This paper investigates graph-based approaches to labeled topic clustering of reader comments in online news. For graph-based clustering we propose a linear regression model of similarity between the graph nodes (comments) based on similarity features and weights trained using automatically derived training data. To label the clusters our graph-based approach makes use of DBPedia to abstract topics extracted from the clusters. We evaluate the clustering approach against gold standard data created by human annotators and compare its results against LDA – currently reported as the best method for the news comment clustering task.

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Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings by Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello


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