Enhancing Web Search with Entity Intent

Na Dai, Xiaoguang Qi and Brian D. Davison

Poster Summary (2 pages)
Official ACM published version: http://dx.doi.org/10.1145/1963192.1963208
Author's version: PDF (444KB)

Web entities, such as documents and hyperlinks, are created for different purposes, or intents. Existing intent-based retrieval methods largely focus on information seekers' intent expressed by queries, ignoring the other side of the problem: web content creators' intent. We argue that understanding why the content was created is also important. In this work, we propose to classify such intents into two broad categories: "navigational" and "informational". Then we incorporate such intents into traditional retrieval models, and show their effect on ranking performance.

In Companion Proceedings of the 20th International World Wide Web Conference, pages 29-30, Hyderabad, India, March 2011.

© ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.

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Last modified: 1 April 2011
Brian D. Davison