Automatic combination of multiple ranked retrieval systems
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting the performance of linearly combined IR systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Database merging strategy based on logistic regression
Information Processing and Management: an International Journal
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
Data fusion with estimated weights
Proceedings of the eleventh international conference on Information and knowledge management
Fusion Via a Linear Combination of Scores
Information Retrieval
From Retrieval Status Values to Probabilities of Relevance for Advanced IR Applications
Information Retrieval
Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion
Journal of the American Society for Information Science and Technology
An outranking approach for rank aggregation in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Regression Relevance Models for Data Fusion
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Detecting splogs via temporal dynamics using self-similarity analysis
ACM Transactions on the Web (TWEB)
Weblogging: A study of social computing and its impact on organizations
Decision Support Systems
Machine learning techniques for business blog search and mining
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Assigning appropriate weights for the linear combination data fusion method in information retrieval
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
Facet-based opinion retrieval from blogs
Information Processing and Management: an International Journal
An overview of text-independent speaker recognition: From features to supervectors
Speech Communication
A signal-to-noise approach to score normalization
Proceedings of the 18th ACM conference on Information and knowledge management
A unified relevance model for opinion retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Image fusion based on a new contourlet packet
Information Fusion
Evaluating score normalization methods in data fusion
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
A data-centric approach to feed search in blogs
International Journal of Web Engineering and Technology
The weighted Condorcet fusion in information retrieval
Information Processing and Management: an International Journal
Hi-index | 12.05 |
In recent years, blogs have been very popular on the Web as a grassroots publishing platform. Some research has been conducted on them and blog opinion retrieval is one of the key issues. In this paper, we investigate if data fusion can be useful for improvement of effectiveness of blog opinion retrieval. Extensive experimentation with the results submitted to the blog opinion retrieval task in TREC 2008 is carried out and a few data fusion methods including CombSum, CombMNZ, Borda count, and the linear combination method are investigated. We observe that generally speaking, all data fusion methods involved are very competitive compared with the best component retrieval system. Especially, the linear combination method with proper training is superior to other data fusion methods and it is able to beat the best component retrieval system by a clear margin. This study demonstrates that data fusion can be an effective technique for blog opinion retrieval if proper fusion methods are applied.