Download e-book for kindle: Advances in Information Retrieval: 38th European Conference by Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane

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 publication constitutes the refereed lawsuits of the thirty eighth ecu convention on IR examine, ECIR 2016, held in Padua, Italy, in March 2016.

The forty two complete papers and 28 poster papers awarded including three keynote talks and six demonstration papers, have been rigorously reviewed and chosen from 284 submissions. the quantity comprises the result of four workshops in addition to four instructional papers moreover. Being the most well known ecu discussion board for the presentation of latest learn leads to the sphere of data Retrieval, ECIR incorporates a wide selection of themes equivalent to: social context and information, desktop studying, query answering, score, review method, probalistic modeling, overview concerns, multimedia and collaborative filtering, and lots of more.

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

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Toms, and Gianluca Demartini XXXIII 293 Multimedia Using Query Performance Predictors to Improve Spoken Queries . . . . . Jaime Arguello, Sandeep Avula, and Fernando Diaz Fusing Web and Audio Predictors to Localize the Origin of Music Pieces for Geospatial Retrieval . . . . . . . . . . . . . . . . . . . Markus Schedl and Fang Zhou Key Estimation in Electronic Dance Music. . . . . . . . . . . . . Ángel Faraldo, Emilia Gómez, Sergi Jordà, and Perfecto Herrera 309 322 335 Summarization Evaluating Text Summarization Systems with a Fair Baseline from Multiple Reference Summaries .

In addition, the IDF-modified-cosine similarity needs a large corpus to calculate TF and IDF with a bag of words [2] whereas our approach only requires a single document and its social information to extract important sentences. This shows that our method is insensitive to the number of documents as well as tweets. , word2vec similarity can be easy integrated into our model while adding new features into the IDF-modified-cosine similarity is still an open question. Finally, their work considers the impact of tweets volume and latency for sentence extraction.

Fahmida Hamid, David Haraburda, and Paul Tarau 351 Multi-document Summarization Based on Atomic Semantic Events and Their Temporal Relationships . . . . . . . . . . . . . . . . Yllias Chali and Mohsin Uddin 366 Tweet Stream Summarization for Online Reputation Management . . . . . Jorge Carrillo-de-Albornoz, Enrique Amigó, Laura Plaza, and Julio Gonzalo 378 Reproducibility Who Wrote the Web? Revisiting Influential Author Identification Research Applicable to Information Retrieval .

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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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