System and method for generating normalized relevance measure for analysis of search results
First Claim
1. A system for generating a normalized relevance rating for use in search result analysis, comprising:
- an input interface to receive a set of independently scaled relevance metrics; and
a normalization engine, the normalization engine communicating with the input interface to receive the set of independently scaled relevance metrics to generate a normalize relevance output.
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Abstract
A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to, for example, train the search algorithms or heuristics to arrive at better or more accurate results.
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Citations
43 Claims
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1. A system for generating a normalized relevance rating for use in search result analysis, comprising:
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an input interface to receive a set of independently scaled relevance metrics; and
a normalization engine, the normalization engine communicating with the input interface to receive the set of independently scaled relevance metrics to generate a normalize relevance output. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for generating a normalized relevance rating for use in search result analysis, comprising:
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receiving a set of independently scaled relevance metrics; and
generating a normalized relevance output from the set of independently scaled relevance metrics. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A normalized relevance rating for use in search result analysis, the normalized relevance rating being generated according to a method comprising:
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receiving a set of independently scaled relevance metrics; and
generating a normalized relevance output from the set of independently scaled relevance metrics. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A relevance predictor model for analyzing the relevance of search results, the relevance predictor model being trained according to a method of:
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receiving a set of independently scaled relevance metrics;
generating a normalized relevance output from the set of independently scaled relevance metrics; and
training the relevance predictor model using the normalized relevance output. - View Dependent Claims (32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43)
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Specification