Power Law Distributions in Information Retrieval (English)
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In:
ACM transactions on information systems
;
34
, 2
; 1-37
;
2016
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ISSN:
- Article (Journal) / Print
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Title:Power Law Distributions in Information Retrieval
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Contributors:
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Published in:ACM transactions on information systems ; 34, 2 ; 1-37
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Publisher:
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Place of publication:New York, NY
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Publication date:2016
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ISSN:
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ZDBID:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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Keywords:
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Source:
Table of contents – Volume 34, Issue 2
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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A Tensor-Based Information Framework for Predicting the Stock MarketLi, Qing et al. | 2016
- 1
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Volunteerism Tendency Prediction via Harvesting Multiple Social NetworksSong, Xuemeng et al. | 2016
- 1
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Influence Estimation and Maximization in Continuous-Time Diffusion NetworksGomez-Rodriguez, Manuel et al. | 2016
- 1
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Power Law Distributions in Information RetrievalPetersen, Casper et al. | 2016
- 1
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Subspace Frequency Analysis--Based Field Indices Extraction for Electricity Customer ClassificationPiao, Minghao et al. | 2016
- 1
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On Effective Location-Aware Music RecommendationCheng, Zhiyong et al. | 2016
- 1
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Transfer Learning to Infer Social Ties across Heterogeneous NetworksTang, Jie et al. | 2016