GENERATING DESCRIPTIONS OF MATCHING RESOURCES BASED ON THE KIND, QUALITY, AND RELEVANCE OF AVAILABLE SOURCES OF INFORMATION ABOUT THE MATCHING RESOURCES
First Claim
1. A method of generating a composite abstract, the method comprising:
- based on a proportion of (a) words that are contained in both a first text string and a first data set relative to (b) words that are contained in the first text string but not in the first data set, determining whether to remove the first text string from a first set of one or more text strings;
based on a proportion of (a) words that are contained in both a second text string and a second data set relative to (b) words that are contained in the second text string but not in the second data set, determining whether to remove the second text string from a second set of one or more text strings; and
combining the set of sentences with the set of text strings.
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Abstract
Techniques are provided for generating descriptions of matching resources in a manner that takes into account the kind, quality, and relevance of the available sources of information about the matching resources. For example, after the search engine identifies matching resources based on the query terms, the search engine determines the kinds of available sources of information about each matching resource. For each matching resource, based on the kinds of available sources of information about the matching resource, one of a plurality of processes is selected to generate a description for the matching resource. Using the content-sensitive description generation techniques described herein, a single result set may include abstracts that were generated using several different processes, where the difference in process corresponds to a difference in the kind, quality, and relevance of the available sources of information about each matching resource.
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Citations
12 Claims
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1. A method of generating a composite abstract, the method comprising:
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based on a proportion of (a) words that are contained in both a first text string and a first data set relative to (b) words that are contained in the first text string but not in the first data set, determining whether to remove the first text string from a first set of one or more text strings; based on a proportion of (a) words that are contained in both a second text string and a second data set relative to (b) words that are contained in the second text string but not in the second data set, determining whether to remove the second text string from a second set of one or more text strings; and combining the set of sentences with the set of text strings. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification