COMMENT RANKING BY SEARCH ENGINE

• US 20140379682A1
• Filed: 06/18/2014
• Published: 12/25/2014
• Est. Priority Date: 06/19/2013
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Du, Ranran, Lin, Yongbin
• Granted Patent: US 10,242,105 B2
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/903 Querying for retrieval from the web G06F16/953
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

The present disclosure provides example methods and apparatuses for implementing comment ranking by a search engine. One or more terms describing a target object are extracted from a comment in connection with the target object. One or more useful attributes included in the comment are obtained according to the terms describing the target object. An scoring index the comment is determined according to a number of the useful attributes. The comment is scored according to the index. The comment is ranked according to the score. The present techniques enable a user to quickly and efficiently view helpful comments and help the user make an informed decision.

Claims

1. A method comprising:

extracting one or more terms describing a target object from a comment with respect to the target object;

determining one or more scoring indexes to score the comment according to a number of useful attributes in the comment based on the one or more terms;

scoring the comment according to the one or more scoring indexes; and

ranking the comment according to a result of the scoring.

2. The method of claim 1, wherein the extracting the one or more terms describing the target object from the comment in connection with the target object comprises:

conducting a word segmentation of the comment; and

finding one or more emotional terms from a result of the word segmentation, a respective emotional term being a term reflecting a view of a user to a respective useful attribute of the target object, a respective useful attribute being information that describes an aspect or a characteristic of the target object.

3. The method of claim 2, further comprising finding the respective useful attribute corresponding to the respective emotional term according to the respective emotional term.

4. The method of claim 2, further comprising searching the comment to find the respective useful attribute corresponding to the respective emotional term.

5. The method of claim 2, further comprising ignoring the respective emotional term in response to determining that the respective useful attribute corresponding to the respective emotional term is not found.

6. The method of claim 2, further comprising:

normalizing the one or more useful attributes,

normalizing the one or more emotional terms; and

maintaining a corresponding relationship between at least two of;

the one or more useful attributes;

the normalized one or more useful attributes;

the one or more emotional terms; and

the normalized one or more emotional terms.

7. The method of claim 2, wherein the finding the one or more emotional terms from the result of the word segmentation comprises finding the one or more emotional terms from a list of emotional terms maintained at a server.

8. The method of claim 1, further comprising data-mining one or more other comments with respect to the target object to obtain the useful attributes.

9. The method of claim 1, further comprising presetting the useful attributes with respect to the target object.

10. The method of claim 1, wherein the useful attributes are different with respect to different target objects.

11. The method of claim 1, wherein the determining one or more scoring indexes to score the comment according to the number of useful attributes in the comment based on the terms comprises:

when the number of the useful attributes is larger than or equal to 1, determining that the one or more scoring indexes include the number of the useful attributes in the comment.

12. The method of claim 11, wherein the one or more scoring indexes further include at least one of:

a readability of the comment;

a ranking factor of one or more useless attributes in the comments; and

a commenting time.

13. The method of claim 1, wherein the determining one or more scoring indexes to score the comment according to the number of useful attributes in the comment based on the terms comprises:

when the number of the useful attributes is 0, determining that the one or more scoring indexes include one or more indexes other than the useful attributes.

14. The method of claim 13, wherein the one or more indexes other than the useful attributes include at least one of:

a readability of the comment;

a ranking factor of one or more useless attributes in the comments; and

a commenting time.

15. The method of claim 1, further comprising displaying one or more displaying tags, at least one of the displaying tags including a normalized useful attribute and a normalized term describing the target object.

16. The method of claim 15, further comprising displaying a list of ranked comments corresponding to a respective displaying tag that is selected by a user.

17. An apparatus comprising:

an extracting module that extracts one or more terms describing a target object from a comment with respect to the target object;

an obtaining module that obtains a number of useful attributes in the comment based on the one or more terms;

a determining module that determines one or more scoring indexes to score the comment according to the number of useful attributes in the comment;

a scoring module that scores the comment according to the one or more scoring indexes; and

a ranking module that ranks the comment according to a result of the scoring.

18. The apparatus of claim 17, further comprising a displaying module that displays one or more displaying tags to a user, a respective displaying tag including a normalized useful attribute and a normalized term that describes the target object.

19. The apparatus of claim 17, further comprising

a first determining sub-module, when the number of the useful attributes is larger than or equal to 1, determines that the one or more scoring indexes include the number of the useful attributes in the comment;

and

a second determining sub-module, when the number of the useful attributes is 0, determining that the one or more scoring indexes include one or more indexes other than the useful attributes,

wherein the one or more indexes other than the useful attributes include at least one of;

a readability of the comment;

a ranking factor of one or more useless attributes in the comments; and

a commenting time.

20. One or more computer storage media stored thereon computer-executable instructions executable by one or more processors to perform operations comprising:

extracting one or more terms describing a target object from a comment with respect to the target object;

determining one or more scoring indexes to score the comment according to a number of useful attributes in the comment based on the one or more terms;

scoring the comment according to the one or more scoring indexes; and

ranking the comment according to a result of the scoring.