Generating descriptions of matching resources based on the kind, quality, and relevance of available sources of information about the matching resources

1. A method comprising performing a machine-executed operation involving instructions, wherein the machine-executed operation is at least one of:

A) sending said instructions over transmission media;

B) receiving said instructions over transmission media;

C) storing said instructions onto a machine-readable storage medium; and

D) executing the instructions;

wherein said instructions are instructions which, when executed by one or more processors, cause the one or more processors to perform steps of:

assigning, to each section of one or more sections of a document, a weight for that section;

receiving one or more query terms from a user;

finding text strings within the document, wherein each of the text strings contains at least one of the query terms;

associating, with each text string of the text strings, a separate score that is based at least in part on a weight that is associated with a section of the document (a) in which at least a part of the text string is located and (b) that differs from the text string;

based on a first score that (a) is associated with a first text string of the text strings and (b) was based at least in part on a weight that is associated with a section of the document in which at least a part of the first text string occurs, including the first text string within a particular set of selected text strings that were selected based at least in part on the separate scores that were associated with those selected text strings;

after including the first text string within the particular set, determining, for each particular text string of the text strings that is not in the particular set, a separate changed score that is based at least in part on a number of the query terms that (1) occur in the particular text string but (2) do not occur in any other text string that is already in the particular set; and

based on a second changed score that (a) is associated with a second text string of the text strings and (b) was based at least in part on a number of the query terms that (1) occur in the second text string but (2) do not occur in any other text string that is already in the particular set, including the second text string within the particular set;

generating an abstract based on text strings that are in the particular set; and

presenting the abstract to the user;

wherein said section is defined based on at least one occurrence of a specified type of HTML tag.

2. The method of claim 1 , wherein the step of finding text strings includes finding only text strings that contain no fewer than a specified number of words.

3. The method of claim 1 , wherein the step of finding text strings includes finding only text strings that contain no more than a specified number of words.

4. The method of claim 1 , wherein said first score is based on a number of words in said first text string.

5. The method of claim 1 , wherein said first score is based on a number of words that are contained in both said first text string and said query terms.

6. The method of claim 1 , wherein said first score is based on a number of different query terms that occur at least once in said first text string.

7. The method of claim 1 , wherein said instructions are instructions which, when executed by the one or more processors, cause the one or more processors to perform a further step of:

adding words to the first text string until a number of words in the first text string is no less than a specified number.

8. The method of claim 1 , wherein said instructions are instructions which, when executed by the one or more processors, cause the one or more processors to perform a further step of:

appending two or more text strings in the set with ellipses.

9. The method of claim 1 , wherein the step of assigning, to each section of the one or more sections of the document, a weight for that section comprises assigning, to that section, a weight that is based on a percentage of that section that contains characters that are contained in link text.

10. The method of claim 1 , wherein a text string contains a particular query term if a particular word in said document comprises the particular query term separated from a remainder of the particular word by one of a set of specified characters.

11. The method of claim 1 , wherein the first text string contains a particular query term if (a) the first text string contains a version of the particular query term that contains an accented version of a character that is not accented in the particular query term and (b) none of said query terms contains an accented character.

12. The method of claim 1 , wherein the step of assigning, to each section of the one or more sections of the document, a weight for that section comprises assigning, to the entirety of that section, a weight that is based on a probability that text in that section represents an overall content of the document.

13. The method of claim 1 , wherein the step of assigning, to each section of the one or more sections of the document, a weight for that section comprises assigning, to that section, a weight that reflects a characteristic of the entirety of that section.

14. The method of claim 1 , wherein, for each section of the one or more sections of the document, the weight associated to that section applies to all text strings that are at least partially in that section.