Event detection with common user interests
In this paper, we aim at detecting events of common user interests from huge volume of user-generated content. The degree of interest from common users in an event is evidenced by a significant surge of event-related queries issued to search for documents (e.g., news articles, blog posts) relevant t...
Saved in:
Main Authors: | HU, Meishan, SUN, Aixin, LIM, Ee Peng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2008
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/331 https://ink.library.smu.edu.sg/context/sis_research/article/1330/viewcontent/p1_hu.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Searching blogs and news: A study on popular queries
by: SUN, Aixin, et al.
Published: (2008) -
Tree-based Partition Querying: A Methodology for Computing Medoids in Large Spatial Datasets
by: MOURATIDIS, Kyriakos, et al.
Published: (2008) -
Comments-oriented document summarization: Understanding documents with readers' feedback
by: HU, Meishan, et al.
Published: (2008) -
Continuous Medoid Queries over Moving Objects
by: PAPADOPOULOS, Stavros, et al.
Published: (2007) -
Organizing User Search Histories
by: HWANG, Heasoo, et al.
Published: (2012)