Semantic and influence aware k-representative queries over social streams

• Main Authors: WANG, Yanhao, LI, Yuchen, TAN, Kianlee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Approximation algorithms; Database systems; Semantics; Vector spaces; Information sources; Query results; Query vectors; Real-world datasets; Sliding Window; Social streams; Theoretical guarantees; Topic Modeling; Query processing; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4371; https://ink.library.smu.edu.sg/context/sis_research/article/5374/viewcontent/Semantic_and_influence_aware_krepresentative_queries_over_social_streams2019.pdf
• Institution: Singapore Management University

Massive volumes of data continuously generated on social platforms have become an important information source for users. A primary method to obtain fresh and valuable information from social streams is social search. Although there have been extensive studies on social search, existing methods only...