Titlebook: Advances in Information Retrieval; 35th European Confer Pavel Serdyukov,Pavel Braslavski,Emine Yilmaz Conference proceedings 2013 Springer-

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Tommaso De Robertis,Luca Burzelli, multimedia). When evaluating system performance and making design decisions we need to better understand user behavior on such result pages. To address this problem various click models have previously been proposed. In this paper we focus on result pages containing fresh results and propose a way

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Nothing So Secular It Cannot Be Sacred,task is sometimes perceived as tedious or boring, annotations can be sparse. Commenting on the other hand is a frequently used means of expressing user opinion towards shared media items. This work makes use of time series analyses in order to infer potential tags and indexing terms for audio-visual

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Ricci as Bishop of Pistoia and Prato, keywords. With the fast development of the Internet, the popularization of mobile devices and e-commerce systems, searching specific products by image has become an interesting research topic. In this context, Content-Based Image Retrieval (CBIR) techniques have been used to support and enhance the

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https://doi.org/10.1007/978-94-010-3365-7rketing. Many recent diffusion models are direct extensions of the . and . models, initially proposed for epidemiology and social studies. In such models, the diffusion process is based on the dynamics of interactions between neighbor nodes in the network (the social pressure), and largely ignores i

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Church and Patronage in 20th Century Britaininduction of semantic relations among tags and the discovery of different senses of a given tag. While a number of approaches for discovering tag senses exist, little is known about which . influence the .. In this paper, we analyze the influence of . factors. We divide taggers into different pragma

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The Path of Latin American Catholicismin a big data loss and impaired utility. We present a more flexible, semantic approach to k-anonymity that consists of three steps: query concept mining, automatic query expansion, and affinity assessment of expanded queries. Based on the observation that many infrequent queries can be seen as refin

Absenteeism

Church and Politics in Latin Americaizing several name similarity patterns and contextual properties of these networks, we design a focused crawler to find high probable matching pairs, then the problem of name disambiguation is reduced to predict the label of each candidate pair as either true or false matching. By defining matching