Towards a next-generation search engine

Authors:
Qiang Yang;Hai-Feng Wang;Ji-Rong Wen;Gao Zhang;Ye Lu;Kai-Fu Lee;Hong-Jiang Zhang
Affiliations:
Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China;Microsoft Research China, Beijing Sigma Center, Beijing, P.R. China
Venue:
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Year:
2000

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Abstract

As more information becomes available on the World Wide Web, it has become an acute problem to provide effective search tools for information access. Previous generations of search engines are mainly keyword-based and cannot satisfy many informational needs of their users. Search based on simple keywords returns many irrelevant documents that can easily swamp the user. In this paper, we describe the system architecture of a next-generation search engine that we have built with a goal to provide accurate search result on frequently asked concepts. Our key differentiating factors from other search engines are natural language user interface, accurate search results, and interactive user interface and multimedia content retrieval. We describe the architecture, design goals and experience in developing the search engine.