ISBN:
9783642165672
Language:
English
Pages:
1 online resource (258 pages)
Series Statement:
Lecture Notes in Computer Science Ser. v.6430
Parallel Title:
Erscheint auch als
DDC:
303.4833
Keywords:
Information technology ; Social aspects ; Congresses
;
Electronic books
Abstract:
Title -- Preface -- Organization -- Table of Contents -- Case-Based Team Recommendation -- Introduction -- Team Composition -- Case-Based Reasoning for Recommendation -- Meta-Model for Team Composition -- Recommendation Approach -- Case Representation and Definitions -- Query -- Similarity Assessment -- Dependencies as Features -- Improving the Ranking Mechanism -- Algorithm -- Example -- Evaluation -- Motivation -- Evaluation Approach -- Evaluation Result -- Conclusion and Future Work -- Toward a Behavioral Approach to Privacyfor Online Social Networks -- Introduction -- Data Collection -- Survey Discussion -- Data Analysis -- Background -- Social Science -- Related Work -- Conclusion -- Future Work -- A Meta Model for Team Recommendations -- Introduction -- Open Innovation Networks -- Team Recommendation Systems -- Meta Models -- Previous Work -- Identification of Influence Aspects -- Model Congruence Verification -- Existing Psychological and Sociological Models -- A Meta Model for Team Composition -- Formalization Summary -- Example Instantiations -- Pelled's Model -- Bouncken and Winkler Model -- Mello and Ruckes Model -- Conclusions and Future Work -- Node Degree Distribution in Affiliation Graphs for Social Network Density Modeling -- Introduction -- Related Work -- Density Estimation Procedure -- Degree Distributions -- Parameter Estimation -- Random Projection Algorithm -- Experimental Results -- Conclusion -- Achieving Optimal Privacy in Trust-Aware Social Recommender Systems -- Introduction -- Background -- Trust-Aware Collaborative Filtering -- Privacy-Preserving Collaborative Filtering -- Preserving Privacy in Trust-Aware Recommender Systems -- Recommendation Framework -- Architecture of a Private Trust-Aware Recommender System -- Data Disguising and Private Trust Computation -- Defining and Inferring Optimal Privacy Set.
Note:
Description based on publisher supplied metadata and other sources
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