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A Hyperlink-Extended Language Model for Microblog Retrieval

초록

영어

Microblog retrieval has received much attention in recent years. In microblog retrieval, the content linked by URLs is one of the most important information of a microblog. We present a Hyperlink-extended model for microblog retrieval that combines content of microblogs and the content of embedded hyperlinks webpages using a probabilistic ranking function based on language model. Hyperlink-extended language model incorporates the users' information retrieval requirements and the microblog author’s expression needs. Using standard TREC 2011 and TREC 2012 microblog retrieval collection, various aspects of our microblog retrieval model are evaluated. Results show our model significantly outperform the art-of-the-state URL-based approaches and the best performance of TREC 2012 microblog retrieval.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Applying Hyperlinks in Microblog Search
  2.2. Language Model
 3. Hyperlink-Extended Language Model for Microblog Retrieval
  3.1. Why Hyperlinks are Needed
  3.2. Hyperlink-Extended Microblog Retrieval Framework
  3.3. Hyperlink-extended Microblog Retrieval Model
  3.4. Final Estimation Details
 4. Experiments
  4.1. Datasets
  4.2. Performance Measures
  4.3. Experimental Results
 5. Conclusions
 References

저자정보

  • Zhongyuan Han School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, School of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin, China
  • Muyun Yang School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
  • Leilei Kong School of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin, China
  • Haoliang Qi School of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin, China
  • Sheng Li School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

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