@inproceedings{be5a1b64fd4d40658cb6a31704906b80,
title = "A novel factoid ranking model for information retrieval",
abstract = "How can we distinguish accurate information from inaccurate or untrustworthy information is a big challenge in the field of information retrieval. This paper discusses trust as a factoid learning problem, which extracts factoid from the content and then rank them according to their likehood as trustworthy ones. Learning methods for performing factoid ranking are proposed in this paper, and then we combine our method with the famous PageRank algorithm to form a more powerful method for retrieval reliable information. Evaluating of the model and the experimental results were presented.",
keywords = "Information retrieval, Ranking, web mining, SVM",
author = "Youcong Ni and Wei Wang",
year = "2007",
doi = "10.1007/978-3-540-72909-9\_35",
language = "英语",
isbn = "9783540729082",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "308--316",
booktitle = "Advances in Web and Network Technologies, and Information Management - APWeb/WAIM 2007 International Workshops DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Proceedings",
address = "德国",
note = "ApWeb/WAIM 2007 International Workshops: 1st International workshop on Database Management and Applications over Networks, DBMAN 2007 - 1st Workshop on Emerging Trends of Web Technologies and Applications, WebETrends 2007 - International Workshop on ; Conference date: 16-06-2007 Through 18-06-2007",
}