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» A relevance-based topic model for news event tracking
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ACL
2012
11 years 10 months ago
A Novel Burst-based Text Representation Model for Scalable Event Detection
Mining retrospective events from text streams has been an important research topic. Classic text representation model (i.e., vector space model) cannot model temporal aspects of d...
Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaom...
WWW
2008
ACM
14 years 8 months ago
Web video topic discovery and tracking via bipartite graph reinforcement model
Automatic topic discovery and tracking on web-shared videos can greatly benefit both web service providers and end users. Most of current solutions of topic detection and tracking...
Lu Liu, Lifeng Sun, Yong Rui, Yao Shi, Shiqiang Ya...
AIRS
2008
Springer
14 years 1 months ago
Topic Tracking Based on Keywords Dependency Profile
Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “knownâ...
Wei Zheng, Yu Zhang, Yu Hong, Jili Fan, Ting Liu
KDD
2009
ACM
141views Data Mining» more  KDD 2009»
14 years 8 months ago
Meme-tracking and the dynamics of the news cycle
Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long ...
Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
APWEB
2006
Springer
13 years 11 months ago
Adaptive User Profile Model and Collaborative Filtering for Personalized News
Abstract. In recent years, personalized news recommendation has received increasing attention in IR community. The core problem of personalized recommendation is to model and track...
Jue Wang, Zhiwei Li, Jinyi Yao, Zengqi Sun, Mingji...