ENGLISH

Social Information Access

Book information

Publisher
Springer International Publishing
Year
2018
ISBN
978-3-319-90091-9, 978-3-319-90092-6
Language
english
Format
PDF
Filesize
40 MB (42058235 bytes)
Series
Lecture Notes in Computer Science 10100
Edition
1st ed.
Pages
VIII, 655\662
Time added
2018-08-15 07:07:45
Co

Description

Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web. The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information. Front Matter ....Pages I-VIII Introduction to Social Information Access (Peter Brusilovsky, Daqing He)....Pages 1-18 Privacy in Social Information Access (Bart P. Knijnenburg)....Pages 19-74 Social Q&A (Sanghee Oh)....Pages 75-107 Collaborative Information Search (Zhen Yue, Daqing He)....Pages 108-141 Social Navigation (Rosta Farzan, Peter Brusilovsky)....Pages 142-180 Tag-Based Navigation and Visualization (Dimitar Dimitrov, Denis Helic, Markus Strohmaier)....Pages 181-212 Social Search (Peter Brusilovsky, Barry Smyth, Bracha Shapira)....Pages 213-276 Network-Based Social Search (Shuguang Han, Daqing He)....Pages 277-309 Accessing Information with Tags: Search and Ranking (Beate Navarro Bullock, Andreas Hotho, Gerd Stumme)....Pages 310-343 Rating-Based Collaborative Filtering: Algorithms and Evaluation (Daniel Kluver, Michael D. Ekstrand, Joseph A. Konstan)....Pages 344-390 Recommendations Based on Social Links (Danielle Lee, Peter Brusilovsky)....Pages 391-440 Tag-Based Recommendation (Toine Bogers)....Pages 441-479 From Opinions to Recommendations (Michael P. O’Mahony, Barry Smyth)....Pages 480-509 Recommending Based on Implicit Feedback (Dietmar Jannach, Lukas Lerche, Markus Zanker)....Pages 510-569 People Recommendation on Social Media (Ido Guy)....Pages 570-623 Location Recommendation with Social Media Data (Cécile Bothorel, Neal Lathia, Romain Picot-Clemente, Anastasios Noulas)....Pages 624-653 Back Matter ....Pages 655-655

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