Company Filing History:
Years Active: 2014-2016
Title: Innovations of Zhuowei Bao
Introduction
Zhuowei Bao is a prominent inventor based in Philadelphia, PA. He has made significant contributions to the field of search technology, holding 2 patents that enhance the quality and efficiency of search queries. His work is particularly relevant in the context of modern information retrieval systems.
Latest Patents
Zhuowei Bao's latest patents include innovative methods for improving search results. One of his patents, titled "Automatic suggestion for query-rewrite rules," focuses on automatically suggesting query-rewrite rules. This invention involves providing a missing search result for a query by generating a collection of semantically coherent rewrite rules based on that result. The process includes selecting candidates from the query and document fields, invoking a search engine, filtering candidates, and classifying the remaining candidates using a learned classifier. The second patent, "Search quality via query provenance visualization," presents methods for enhancing search quality by graphically depicting search query provenance related to the results. This visualization allows for an investigative function to explore various aspects of the search query provenance.
Career Highlights
Zhuowei Bao is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in search technology. His work at IBM has positioned him as a key player in advancing the capabilities of search engines and information retrieval systems.
Collaborations
Throughout his career, Zhuowei Bao has collaborated with notable colleagues, including Benny Kimelfeld and Yunyao Li. These collaborations have contributed to the development of cutting-edge technologies in the field.
Conclusion
Zhuowei Bao's contributions to search technology through his patents and work at IBM highlight his role as an influential inventor. His innovative approaches to query rewriting and search quality visualization continue to shape the future of information retrieval.
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