Source: http://www.google.de/patents/US9126116
Timestamp: 2017-11-24 05:41:50
Document Index: 799869582

Matched Legal Cases: ['Application No. 02704295', 'Application No. 02704295', 'Application No. 02704295', 'Application No. 02704295', 'Application No. 10', 'Application No. 10', 'Application No. 2010']

Patent US9126116 - Ranking of user-generated game play advice - Google Patentsuche
Management of user-generated game play advice is disclosed. The present invention allows for management of game play advice that is complete and up-to-date regardless of when a particular interactive gaming title is released. Game play advice is pervasive and easily accessible to game players in addition...http://www.google.de/patents/US9126116?utm_source=gb-gplus-sharePatent US9126116 - Ranking of user-generated game play advice
Veröffentlichungsnummer US9126116 B2
Anmeldenummer US 11/850,516
Auch veröffentlicht unter US20090063463, US20160018934
Veröffentlichungsnummer 11850516, 850516, US 9126116 B2, US 9126116B2, US-B2-9126116, US9126116 B2, US9126116B2
Erfinder Sean Turner, Phil Harrison
Patentzitate (212), Nichtpatentzitate (89), Klassifizierungen (16), Juristische Ereignisse (3)
US 9126116 B2
receiving new game play advice from a user, by a game play advice submission engine coupled to a server and executable by a processor; and
executing instructions stored in a memory, wherein execution of instructions by the processor:
displays the new game play advice to a community of users, the new game play advice displayed in a default ranking position and in conjunction with previously received game play advice, the new game play advice displayed by a game play advice display engine,
receives feedback associated with the quality of the new game play advice and the previously received game play advice, the feedback received from the community of users, the feedback received by a feedback engine,
allocates a grade to the user for a game based on a performance of the user with respect to the game, by a ranking machine,
ranks the new game play advice against the previously received game play advice based on the feedback received from the community of users and on the user's performance in the game, by the ranking machine,
removes the new game play advice from the default ranking position, by the ranking machine, and
displays the new game play advice in conjunction with the previously received game play advice, the new game play advice and the previously received game play advice displayed in accordance with the ranking of the new game play advice and the previously received game play advice, the new game play advice and the previously received game play advice displayed by the game play advice display engine.
3. The method of claim 1, wherein the new game play advice is selected from a group consisting of textual, visual, and audible game play advice.
5. The method of claim 1, wherein ranking and displaying the new game play advice in a position that is not the default ranking position occurs substantially in real-time.
6. The method of claim 1, wherein ranking and displaying the new game play advice in a position that is not the default ranking position occurs according to a predetermined schedule.
7. The method of claim 1, wherein ranking and displaying the new game play advice in a position that is not the default ranking position occurs in response to a user query.
a game play advice submission engine coupled to a server and executable by a processor to receive game play advice submissions over a network;
a ranking engine stored on a server and executable by a processor to:
allocate a ranking to the game play advice submissions received over the network, and
allocate a grade to a user in a community of users for a game based on a performance of the user with respect to the game;
a game play advice display engine stored on a server and executable by a processor to display the game play advice submissions in accordance with the ranking allocated by the ranking engine; and
a feedback engine stored on a server and executable by a processor to receive feedback from a community of users with respect to the quality of the game play advice displayed by the game play advice display engine, wherein the feedback engine and the ranking engine operate to allocate a new ranking to the game play advice in accordance with the feedback received from the community of users and on the user's performance in the game, the game play advice being subsequently displayed by the game play advice display engine in accordance with the new ranking.
9. The system of claim 8, wherein the ranking allocated by the ranking engine is selected from a group consisting of numeric, characteristic, binary, and percentage-based rankings.
10. The system of claim 8, wherein the ranking engine further executes instructions stored on a server to apply a tie-breaker to game play advice receiving an equal ranking from the ranking engine.
14. The system of claim 8, wherein the feedback engine further executes instructions stored on a server to receive feedback from a community of users with respect to the reputation of the user submitting game play advice.
15. The system of claim 14, further comprising a weighting engine, the weighting engine stored on a server and executable by a processor to allocate a first value to the feedback received from the community of users with respect to the quality of the game play advice and a second value to the reputation of the user submitting the game play advice, the first and the second value proportionally affecting the new ranking allocated to the game play advice.
16. The system of claim 8, further comprising a weighting engine, the weighting engine stored on a server and executable by a processor to allocate a first value to the feedback received from the community of users with respect to the quality of the game play advice and a second value to the user grade received from the community of users, the first and the second value proportionally affecting the new ranking allocated to the game play advice.
17. A method for displaying user-generated game play advice, the method comprising:
receiving new game play advice from a first user, by a game play advice submission engine coupled to a server and executable by a processor, the first user having previously received feedback from a community of users; and
executing instructions stored in memory, wherein execution of instructions by the processor:
allocates a grade to the first user for a game based on a performance of the first user with respect to the game, by a ranking engine,
ranks the new game play advice against previously received game play advice based on user feedback received from the community of users and on the performance in the game of the first user, by the ranking engine,
the previously received game play advice having been submitted by at least a second user, the at least a second user having previously received feedback from the community of users, and
displays the new game play advice in conjunction with the previously received game play advice, the new game play advice and previously received game play advice displayed in accordance with the ranking of the new game play advice and the previously received game play advice, the new game play advice and previously received game play advice displayed by a game play advice display engine.
18. The method of claim 17, wherein the new game play advice is displayed in a three-dimensional virtual environment including an object associated with a reward or achievement.
19. The method of claim 17, wherein the new game play advice is selected from a group consisting of textual, visual, and audible game play advice.
20. The method of claim 17, wherein the feedback is selected from a group consisting of numeric, characteristic, and binary feedback, the feedback including user commentary.
21. The method of claim 17, wherein ranking and displaying the new game play advice occurs substantially in real-time.
22. The method of claim 17, wherein ranking and displaying the new game play advice occurs according to a predetermined schedule.
23. The method of claim 17, wherein ranking and displaying the new game play advice occurs in response to a user query.
24. A method for managing user-generated game play advice, the method comprising:
receiving new game play advice from a user by a game play advice submission engine coupled to a server and executable by a processor; and
allocates a grade to the user for a game based on a performance of the user with respect to the game, by a ranking engine,
ranks the new game play advice against the previously received game play advice, by the ranking engine, the previously received game play advice having been submitted by at least a second user, the at least a second user having previously received feedback from the community of users,
receives feedback associated with the quality of the new game play advice and the quality of the previously received game play advice, the feedback received from the community of users, by a feedback engine,
assigns a first weighting value to the user feedback and a second weighting value to the feedback associated with the quality of the game play advice, by the ranking engine,
ranks the new game play advice against the previously received game play advice based on the feedback received from the community of users, a performance in the game of the at least a second user, and the feedback associated with the quality of the game play advice, in accordance with the first weighting value and the second weighting value, by the ranking engine,
removes the new game play advice from the default ranking position, by the ranking engine, and
Menus generated by the game play advice submission engine 120 may be level-based. A level-based menu configuration may cause the selection of one item at a first level of a menu to branch out into a series of options concerning a second level of related menu items. Selection of an entry at the second level may spawn a third-level and so on. Spawning of various levels may continue until there is no further information to be entered.
Game play advice database 130 is configured to manage user-generated game play advice submitted through an interface generated by the game play advice submission engine 120. Game play advice database 130 may manage submitted game play advice by user, game title, nature of the advice, date, size, content of the advice (e.g., video, audio, text, combinations of content), and so forth. Game play advice database 130 may include non-user generated game play advice (e.g., pre-stocked game play advice from the game publisher) that may also be ranked and displayed by system 100.
In FIG. 5A, the ladder ranking 500 includes six exemplary instances of user-generated game play advice (510 a . . . f). Each instance of game play advice identifies a title of the interactive game for which the advice is rendered 520 (i.e., SOCOM 3); the nature of the advice 530 (i.e., pertaining to ‘unlockable’ weapons); and the particular unlockable weapon at issue 540 (e.g., an IW-80 A2, an STG-77, a medium scope, and a front grip). Each instance also includes the advice itself 550 (e.g., “Complete the Poland Theater of Operations” in the case of instance 510 a).
In FIG. 5A, the best quality game play advice is displayed at (or near) the top of the ladder ranking 500. With respect to this particular game title, the IW-80 A2 may represent a particularly desirable weapon. Information regarding acquisition of this weapon may, therefore, be highly valued (i.e., to obtain this weapon “Complete the Poland Theater of Operations” as reflected by advice 550 of instance 510 a).
In another instance of game play advice (510 f), the weapon is the same as that discussed in the most highly ranked instance (510 a) (i.e., the aforementioned IW-80 A2) but the advice is of such poor quality that the advice is located at the lower-most rung of the ladder ranking 500. With respect to game play advice instance 510 f, the user submitting the ‘advice’ has just begun playing this particular game title and does not know what an IW-80 A2 is or how to acquire the same. As such, this unhelpful instance of game play advice is appropriately ranked, and subsequently displayed at the bottom of the ladder ranking 500. As a result of this ranking, a user searching for information concerning the acquisition of an IW-80 A2 saves time by avoiding review of unhelpful information. Further, the user searching for advice on acquiring the IW-80 A2 is more likely to receive complete and accurate advice.
Ranking database 180 is configured to manage ranking of user-generated game play advice as ranked by the ranking engine 140. Ranking database 180 may also store user grade information generated by the ranking engine 140. Ranking database 180 may be updated in real-time (or substantially in real-time) in order to provide game play advice display engine 150 with the most up-to-date and available ranking information as it pertains to particular instances of game play advice. Ranking information stored in the ranking database 180 may expire after a set period of time. Lower ranked game play advice (e.g., advice falling below a certain minimum ranking) may be removed from the ranking database 180 while higher ranked information is maintained in the ranking database 180.
A user acting upon any displayed game play advice may return to the system 100 and provide feedback as to the quality of that particular game play advice in step 230. The feedback may be provided via a prompt generated by feedback engine 160. The nature of the feedback may be like that described in the context of FIG. 1 with respect to feedback engine 160 (e.g., a number of ‘stars’ or ‘thumbs up’ or ‘thumbs down’). Advice that resulted in better game play may receive a higher ranking than advice that resulted in lesser game play. The presentation of the game play advice may also affect the ranking. For example, if the advice was presented in such a way as to make the advice confusing notwithstanding the validity of the advice, the particular instance may receive a lesser ranking.
FIG. 3 illustrates an exemplary method 300 for ranking user-generated game play advice based on the reputation of the user submitting the advice. The steps identified in FIG. 3 (and the order thereof) are exemplary and may include various alternatives, equivalents, or derivations thereof including but not limited to the order of execution of the same. The steps of the process of FIG. 3 (and its various alternatives) may be embodied in hardware or software including a computer-readable storage medium (e.g., optical disc, memory card, or hard drive) including instructions executable by the processor of a computing device.
In a still further embodiment, the user grade may involve a weighting algorithm imposed by optional weighting engine 190. In such an embodiment, community feedback may be assigned a first weighting value by the weighting algorithm of optional weighting engine 190. The automated ranking generated by the ranking engine 140 may be allocated a second weighting value. These weighted values may proportionally affect a final ranking (also calculated by the ranking engine 140) that is ultimately stored in the ranking database 180 for retrieval by the game play advice display engine 150.
The processed and default ranked game play advice is subsequently displayed by the game play advice display engine 150 in step 420. The game play advice display engine 150 retrieves the default ranking information from ranking database 180 and the game play advice from the game play advice database 130. Upon display in step 420, the user-generated game play advice is available for viewing by other members of the gaming community who may then act upon that advice during the course of game play.
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Internationale Klassifikation A63F9/24, G06Q99/00, G06Q50/00, A63F13/30, A63F13/00
Unternehmensklassifikation A63F13/5375, G06F3/048, A63F13/80, A63F13/54, A63F13/30, A63F13/12, A63F13/798, A63F2300/305, G06Q50/01, A63F2300/558, A63F2300/572
16. Nov. 2007 AS Assignment