Recommendation and Search in Social Networks
Springer International Publishing (Verlag)
978-3-319-36480-3 (ISBN)
Adaptive Identification of Hashtags for Real-Time Event Data Collection.- Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication.- Accuracy vs Novelty & Diversity in Recommender Systems: A Non-Uniform Random Walk Approach.- Social Network Derived Credibility.- Anonymizing Social Network Data for Maximal Frequent-Sharing Pattern Mining.- A Comprehensive Analysis of Detection of Online Paid Posters.- An Improved Collaborative Recommendation System by Integration of Social Tagging Data.- Personalization of Web Search using Social Signals.- The Pareto Principle is Everywhere: Finding Informative Sentences for Opinion Summarization through Leader Detection.- Social Media Question Asking: A Developing Country Perspective.- Evolutionary Influence Maximization in Viral-Marketing.- Mining and Analyzing the Italian Parliament: Party Structure and Evolution.
Erscheinungsdatum | 04.11.2016 |
---|---|
Reihe/Serie | Lecture Notes in Social Networks |
Zusatzinfo | XI, 289 p. 111 illus., 67 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Schlagworte | Analysis of Detection of Online Paid Posters • Anonymous Social Network Data • Applications of Graph Theory and Complex Networks • Complex analysis, complex variables • Complexity • Computer Science • Cybernetics and systems theory • Data Mining • data mining and knowledge discovery • Expert systems / knowledge-based systems • Frequent-Sharing Pattern Mining • Markov Models for SNA • Mathematical Physics • Media Sociology • Non-Uniform Random Walks • Real-Time Event Data • Recommendation Systems • Search System Personalization • Social Network Websites • Social Signal Web Searches • Sociology |
ISBN-10 | 3-319-36480-4 / 3319364804 |
ISBN-13 | 978-3-319-36480-3 / 9783319364803 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich