Microsoft Academic Search

Microsoft Academic Search is a free academic search engine developed by Microsoft Research Asia, and it is also a test-bed for our object-level vertical search research. Driven by the latest search engine technology, Microsoft Academic Search enables users to not only find papers but to discover more information that goes beyond simple query results. With Microsoft Academic Search, you can:

• Locate top research papers
• Find top scientists, conferences, and journals in a specific field

How are the results ranked?

The objects are sorted based on two separate factors: their relevance to the query and their global importance. The relevance score of an object is computed by considering its attributes and its importance score is calculated by considering its relationships with other objects.

Technologies behind Microsoft Academic Search:

• Object-Level Ranking: Bringing Order to Web Objects
  Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, and Wei-Ying Ma
  In the Proceedings of the 14th international World Wide Web conference (WWW 2005), May 10-14, 2005, in Chiba, Japan.
• Object-Level Vertical Search
  Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, and Wei-Ying Ma
  In the Third Biennial Conference on Innovative Data Systems Research (CIDR 2007,May 10-14, research paper).
• Extracting Objects from the Web
  Zaiqing Nie, Fei Wu, Ji-Rong Wen, Wei-Ying Ma
  In the 22nd International Conference on Data Engineering (ICDE 2006,poster paper ).

• Simultaneous Record Detection and Attribute Labeling in Web Data Extraction

  Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma

  In the 12th International Conference on Knowledge Discovery and Data Mining (SIGKDD 2006, full paper).

• 2D Conditional Random Fields for Web Information Extraction

  Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma

  In the 22nd International Conference on Machine Learning (ICML 2005).

• Web Object Retrieval

  Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen, Wei-Ying Ma

  In the Proceedings of the 16th international World Wide Web conference (WWW 2007).