Method and apparatus of generating update parameters and displaying correlated keywords

• US 8,874,588 B2
• Filed: 01/21/2014
• Issued: 10/28/2014
• Est. Priority Date: 04/10/2007
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Pan, Lei, Yao, Yuanhu, Yang, Zhen, Zhang, Tianji
• Primary Examiner(s): Arjomandi, Noosha
• Application Number:
  US14/160,364
• Publication Number:
  US 20140136551A1
• Time in Patent Office: 280 Days
• Field of Search: 707/748
• US Class Current: 707/748
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/90324 using system suggestions

Abstract

Provided is a method of generating updating parameters. The method obtains search keywords used by users within a predetermined time period; counts the search keywords to obtain primary keywords, related keywords, co-search frequencies of each primary keyword and the respective related keywords being searched together, and search frequencies of the primary keywords being searched alone; computes first feature values based on the search frequencies of the primary keywords being searched alone; and then computes second feature values based on the first feature values and the co-search frequencies of the primary keywords and the respective related keywords. The second feature values serve as updating parameters for determining displaying modes of the related keywords. An apparatus of generating updating parameters, and a method and an apparatus of displaying related keywords according to the updating parameters are also provided. The solution keeps abreast with the user trends to allow a better user experience and improve computing performance and efficiency. For a service provider, no special secret algorithm is needed, and the operation is easy with a low development cost.

Claims

1. A method comprising:

obtaining search keywords used by users within a predetermined time period;

counting the search keywords to obtain a primary keyword, related keywords, co-search frequencies of the primary keyword and the related keywords being searched together, and a search frequency of the primary keyword being searched alone;

computing correlation levels based at least in part on the co-search frequencies of the primary keyword and the related keywords being searched together;

computing a first feature value based at least in part on the search frequency of the primary keyword being searched alone; and

computing second feature values based at least in part on the first feature value, the correlation levels and the co-search frequencies of the primary keyword and the related keywords, a second feature value serving as a parameter for determining whether a corresponding related keyword of the related keywords is to be displayed constantly or in a rotating manner.

2. The method as recited in claim 1, the method further comprising:

recording the primary keyword, the related keywords and the second feature values to form a keyword information table.

3. The method as recited in claim 2, wherein the keyword information table further contains the first feature value corresponding to the primary keyword.

4. The method as recited in claim 1, wherein obtaining the related keywords, computing the first feature values and computing the second feature values are concurrently executed using a multi-threading method.

5. The method as recited in claim 1, wherein prior to computing the first feature value, the method further comprises:

filtering out one or more related keywords that satisfy a filtering rule.

6. The method as recited in claim 1, wherein the primary keyword includes a search keyword used by a user and/or a promulgated keyword posted by a promulgating user.

7. An apparatus comprising:

one or more processors;

memory;

an acquisition unit stored in the memory and executable by the one or more processors, used for obtaining search keywords used by users within a predetermined time period;

a statistics unit stored in the memory and executable by the one or more processors, used for counting the search keywords to obtain a primary keyword, related keywords, co-search frequencies of the primary keyword and the related keywords being searched together, and a search frequency of the primary keyword being searched alone;

a correlation computing sub-unit stored in the memory and executable by the one or more processors, used for computing correlation levels based at least in part on the co-search frequencies of the primary keyword and the related keywords being searched together;

a first computation unit stored in the memory and executable by the one or more processors, used for computing a first feature value based at least in part on the search frequency of the primary keyword being searched alone; and

a second computation unit stored in the memory and executable by the one or more processors, used for computing second feature values based at least in part on the first feature value, the correlation levels and the co-search frequencies of the primary keyword and the related keywords being searched together, wherein a second feature value serves as a parameter for determining whether a corresponding related keyword of the related keywords is to be displayed constantly or in a rotating manner.

8. The apparatus as recited in claim 7, the apparatus further comprising:

a recording unit, used for recording the primary keyword, the related keywords and the second feature values to form a keyword information table.

9. The apparatus as recited in claim 8, the apparatus further comprising:

an addition unit connected with the recording unit and used for recording the first feature value in the keyword information table.

10. The apparatus as recited in claim 7, the apparatus further comprising:

a filtering unit connected with the statistics unit and used for filtering out one or more search keywords that satisfy a filtering rule.