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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianfeng Zheng Zaiqing Nie |
| Copyright Year | 2009 |
| Abstract | Current mobile web search engines essentially conduct document-level ranking and retrieval. However, structured information about real-world objects embedded in static WebPages and online databases exists in huge amounts. We explore a new paradigm to enable web search at the object level in this paper, extracting and integrating web information for objects relevant to a specific application domain. We then rank these objects in terms of their relevance and popularity in answering user queries. We introduce the overview and core technologies of object-level vertical search engines that have been implemented in one working systems: Windows Live Product Search on mobile (http://m.live.com). |
| Starting Page | 51 |
| Ending Page | 55 |
| File Size | 531449 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769538174 |
| DOI | 10.1109/WISM.2009.18 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems Decision making Collision mitigation Data warehouses International collaboration Information Integration Data mining Collaborative work Large-scale systems Web Search Problem-solving Workflow management software Web Information Extraction Object-level Ranking |
| Content Type | Text |
| Resource Type | Article |
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