AUTOMATIC DIAGNOSIS OF SEARCH RELEVANCE FAILURES
First Claim
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1. A system for diagnosis of search relevance failures, comprising:
- a collection component that acquires search result dissatisfaction reports; and
a diagnostic component that automatically identifies one or more potential causes of reported dissatisfaction to facilitate resolution thereof.
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Abstract
Search relevance failures are diagnosed automatically. Users presented with unsatisfactory search results can report their dissatisfaction through various mechanisms. Dissatisfaction reports can trigger automatic investigation into the root cause of such dissatisfaction. Based on the identified root cause, a search engine can be modified to resolve the issue creating dissatisfaction thereby improving search engine quality.
31 Citations
20 Claims
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1. A system for diagnosis of search relevance failures, comprising:
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a collection component that acquires search result dissatisfaction reports; and a diagnostic component that automatically identifies one or more potential causes of reported dissatisfaction to facilitate resolution thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A search engine diagnostic method, comprising:
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receiving a dissatisfaction report identifying a missing relevant uniform resource locator (URL) in search results in response to query; and diagnosing root cause of the missing URL automatically. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A method for improving search engine quality, comprising:
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receiving a dissatisfaction report that identifies a missing relevant URL for a search query; diagnosing automatically a root cause that prevented presentation of the URL in search results; categorizing the potential cause; and initiating search engine modification to address the missing URL as a function of the categorized cause. - View Dependent Claims (19, 20)
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Specification