Pre-fetching items in a virtual universe based on avatar communications

• US 8,990,306 B2
• Filed: 05/28/2009
• Issued: 03/24/2015
• Est. Priority Date: 05/28/2009
• Status: Expired due to Fees

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Bolger, Rosa M., Corrao, Ann, Hamilton, Rick A., O'Connell, Brian M., Snitzer, Brian J.
• Primary Examiner(s): NGUYEN, MINH CHAU
• Application Number:
  US12/473,306
• Publication Number:
  US 20100306652A1
• Time in Patent Office: 2,126 Days
• Field of Search: 709204-205
• US Class Current: 709/205
• CPC Class Codes: A63F 13/87 Communicating with other players during game play, e.g. by e-mail or chat
• CPC Class Codes: A63F 2300/534 for network load management, e.g. bandwidth optimization, latency reduction
• CPC Class Codes: A63F 2300/552 for downloading to client devices, e.g. using OS version, hardware or software profile of the client device
• CPC Class Codes: A63F 2300/572 Communication between players during game play of non game information, e.g. e-mail, chat, file transfer, streaming of audio and streaming of video
• CPC Class Codes: G06F 16/38 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching
• CPC Class Codes: H04L 67/131 Protocols for games, networked simulations or virtual reality
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/5681 Pre-fetching or pre-delivering data based on network characteristics

Abstract

The present invention pre-fetches objects, textures and scripts (collectively referred to herein as items) through analysis of the communications of an avatar. Furthermore, if an object, texture or script is not pre-fetched upon arrival to a region the virtual universe'"'"'s object, texture and script download system is augmented to prioritize objects the user may be interested in based on the avatar'"'"'s communications and previously stated priorities. The present invention may improve user experience of virtual world by prioritizing the download and caching of objects, textures, and scripts that are likely to interest the user. Such a prioritization enhances the user experience by reducing wait times for the rendering of objects of interest.

Claims

1. A computer-implemented method for pre-fetching items in a virtual universe (VU) based on avatar communications, comprising:

analyzing, using at least one computing device, communications between a set of avatars in the VU, the communications comprising alphanumeric content of at least one electronic message, the alphanumeric content comprising a set of words;

extracting, using the at least one computing device, the set of words from the communications based on the analysis;

ranking, using the at least one computing device, each word of the set of words based on a frequency, a recency, and a relevance of the each word as used in the communications, the frequency comprising a number of occurrences of the each word in the avatar communications, the recency comprising a number of months since the each word was last used in the avatar communications, and the relevance comprising a number of occurrences, in the avatar communications, of other words associated with the each word as indicated by a folksonomy analysis;

comparing, using the at least one computing device, the each word of the set of words against a database of known words relating to advertisements or spam; and

calculating, using the at least one computing device, a relative priority of the each word of the set of words based on the comparing and a calculation, the calculation comprising subtracting the recency from a sum of the frequency and the relevance.

2. The method of claim 1, further comprising pre-fetching, using the at least one computing device, at least one item based on the relative priority.

3. The method of claim 2, the pre-fetching comprising pre-fetching, using the at least one computing device, at least one item having a higher relative priority than other items.

4. The method of claim 1, the ranking being further based on a trust of source of the communications.

5. The method of claim 4, the trust of source being based on a relationship between the communications and the set of avatars.

6. The method of claim 1, further comprising;

comparing, using the at least one computing device, the set of words to a database of words; and

filtering, using the at least one computing device, the set of words based on the comparing.

7. The method of claim 6, the database of words comprising words associated with spam.

8. The method of claim 1, further comprising caching, using the at least one computing device, the at least one item.

9. A system for pre-fetching items in a virtual universe (VU) based on avatar communications, comprising:

a memory medium comprising instructions;

a bus coupled to the memory medium;

a processor coupled to the bus that when executing the instructions causes the system to;

analyze communications between a set of avatars in the VU, the communications comprising alphanumeric content of at least one electronic message, the alphanumeric content comprising a set of words;

extract the set of words from the alphanumeric content of the communications based on the analysis;

rank each word of the set of words based on a frequency, a recency, and a relevance of the each word as used in the communications, the frequency comprising a number of occurrences of the each word in the avatar communications, the recency comprising a number of months since the each word was last used in the avatar communications, and the relevance comprising a number of occurrences, in the avatar communications, of other words associated with the each word as indicated by a folksonomy analysis;

compare the each word of the set of words against a database of known words relating to advertisements or spam; and

calculate a relative priority of the each word of the set of words based on the comparing and a calculation, the calculation comprising subtraction of the recency from a sum of the frequency and the relevance.

10. The system of claim 9, the system further being caused to pre-fetch at least one item based on the relative priority.

11. The system of claim 10, the system further being caused to pre-fetch at least one item having a higher relative priority than other items.

12. The system of claim 9, the system further being caused to further rank the set of words based on a trust of source of the communications.

13. The system of claim 12, the trust of source being based on a relationship between the communications and the set of avatars.

14. The system of claim 9, the system further being caused to:

compare the set of words to a database of words; and

filter the set of words based on the comparing.

15. The system of claim 14, the database of words comprising terms associated with spam.

16. The system of claim 9, the system further being caused to catch the at least one item.

17. A computer readable device containing a program product for pre-fetching items in a virtual universe (VU) based on avatar communications, the computer readable device comprising program code for causing a computer to:

analyze communications between a set of avatars in the VU, the communications comprising alphanumeric content of at least one electronic message, the alphanumeric content comprising a set of words;

extract the set of words from the alphanumeric content of the communications based on the analysis;

rank each word of the set of words based on a frequency, a recency, and a relevance of the each word as used in the communications, the frequency comprising a number of occurrences of the each word in the avatar communications, the recency comprising a number of months since the each word was last used in the avatar communications, and the relevance comprising a number of occurrences, in the avatar communications, of other words associated with the each word as indicated by a folksonomy analysis;

compare the each word of the set of words against a database of known words relating to advertisements or spam; and

calculate a relative priority of the each word of the set of words based on the comparing and a calculation, the calculation comprising subtraction of the recency from a sum of the frequency and the relevance.

18. The computer readable device containing a program product of claim 17, the computer readable device further comprising program code for causing the computer to:

pre-fetch at least one item based on the relative priority.

19. The computer readable device containing a program product of claim 18, the computer readable device further comprising program code for causing the computer to pre-fetch at least one item having a higher relative priority than other items.

20. The computer readable device containing a program product of claim 17, the ranking being further based on a trust of source of the communications.

21. The computer readable device containing a program product of claim 20, the trust of source being based on a relationship between the communications and the set of avatars.

22. The computer readable device containing a program product of claim 17, the computer readable device further comprising program code for causing the computer to:

compare the set of terms to a database of words; and

filter the set of words based on the comparing.

23. The computer readable device containing a program product of claim 22, the database of terms comprising words associated with spam.

24. The computer readable device containing a program product of claim 17, the computer readable device further comprising program code for causing the computer to:

cache the at least one item.

25. A method for deploying a system for pre-fetching items in a virtual universe (VU) based on avatar communications, comprising:

providing a computer infrastructure being operable to;

analyze communications between a set of avatars in the VU, the communications comprising alphanumeric content of at least one electronic message, the alphanumeric content comprising a set of words;

extract the set of words from the alphanumeric content of the communications based on the analysis;

rank each word of the set of words based on a frequency, a recency, and a relevance of the each word as used in the communications, the frequency comprising a number of occurrences of the each word in the avatar communications, the recency comprising a number of months since the each word was last used in the avatar communications, and the relevance comprising a number of occurrences, in the avatar communications, of other words associated with the each word as indicated by a folksonomy analysis;

compare the each word of the set of words against a database of known words relating to advertisements or spam; and

calculate a relative priority of the each word of the set of words based on the comparing and a calculation, the calculation comprising subtraction of the recency from a sum of the frequency and the relevance.