Reachability Analysis of Graph Modelled Collections

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• 作者：Serwah Sabetghadam (19)
  Mihai Lupu (19)
  Ralf Bierig (19)
  Andreas Rauber (19)
  
  19. Institute of Software Technology and Interactive Systems ; Vienna University of Technology ; Vienna ; Austria
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9022
• 期：1
• 页码：370-381
• 全文大小：602 KB
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  17. Sabetghadam, S., Lupu, M., Rauber, A. Which one to choose: Random walk or spreading activation. In: Lamas, D., Buitelaar, P. eds. (2014) Multidisciplinary Information Retrieval. Springer, Heidelberg, pp. 112-119 CrossRef
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• 作者单位：Advances in Information Retrieval
• 丛书名：978-3-319-16353-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

This paper is concerned with potential recall in multimodal information retrieval in graph-based models. We provide a framework to leverage individuality and combination of features of different modalities through our formulation of faceted search. We employ a potential recall analysis on a test collection to gain insight on the corpus and further highlight the role of multiple facets, relations between the objects, and semantic links in recall improvement. We conduct the experiments on a multimodal dataset containing approximately 400,000 documents and images. We demonstrate that leveraging multiple facets increases most notably the recall for very hard topics by up to 316%.