A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Novelty and redundancy detection in adaptive filtering
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Kernel methods for relation extraction
The Journal of Machine Learning Research
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
A probabilistic model for retrospective news event detection
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic framework for relational clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
SoRec: social recommendation using probabilistic matrix factorization
Proceedings of the 17th ACM conference on Information and knowledge management
Probabilistic polyadic factorization and its application to personalized recommendation
Proceedings of the 17th ACM conference on Information and knowledge management
SIFT Flow: Dense Correspondence across Different Scenes
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
MetaFac: community discovery via relational hypergraph factorization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Shallow semantics for relation extraction
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Clustering sentences for discovering events in news articles
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
News contextualization with geographic and visual information
MM '11 Proceedings of the 19th ACM international conference on Multimedia
In-video product annotation with web information mining
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Enhancing news organization for convenient retrieval and browsing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Exploiting content relevance and social relevance for personalized ad recommendation on internet TV
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
| Hi-index | 0.00 |
In this paper, we propose a framework of multi-modal multi-correlation person-centric news retrieval, which integrates news event correlations, news entity correlations, and event-entity correlations simultaneously by exploring both text and image information. The proposed framework is confined to a person-name query and enables a more vivid and informative person-centric news retrieval by providing two views of result presentation, namely a query-oriented multi-correlation map and a ranking list of news items with necessary descriptions including news image, news title and summary, central entities and relevant news events. First, we pre-process news articles using natural language techniques, and initialize the three correlations by statistical analysis about events and entities in news articles and face images. Second, a Multi-correlation Probabilistic Matrix Factorization (MPMF) algorithm is proposed to complete and refine the three correlations. Different from traditional Probabilistic Matrix Factorization (PMF), the proposed MPFM additionally considers the event correlations and the entity correlations as well as the event-entity correlations during the factor analysis. Third, the result ranking and visualization are conducted to present search results relevant to a target news topic. Experimental results on a news dataset collected from multiple news websites demonstrate the attractive performance of the proposed solution for news retrieval.