Generating implicit ratings for video games using external metadata

Patent metadata

Field	Value
Publication number	US-2021097584-A1
Application number	US-201916586649-A
Country	US
Kind code	A1
Filing date	Sep 27, 2019
Priority date	Sep 27, 2019
Publication date	Apr 1, 2021
Grant date	—

Abstract

In certain example embodiments, a computer system for generating an implicit video game rating is provided. The system generates a base rating that is a function of gameplay data for a specific user and other users. The system also generates an average external rating for the video game based on external data categories such as, user reviews, critic reviews, ownership data, etc. An adjustment factor is then calculated from an average base rating and external rating and then applied to the user's individual base rating to obtain an implicit rating of a video game for the user.

First claim

1 . A computer system for generating implicit, user-specific ratings for video games that are played by users, the computer system comprising:
a non-transitory computer readable storage medium configured to store:
a plurality of gameplay data records that include information about how a plurality of users have interacted with at least a first video game, and
a plurality of external source data records that each correspond to at least one external source that references the first video game;
a processing system that includes at least one hardware processor, the processing system configured to:
generate a community average for the first video game that is based on the plurality of gameplay data records that include information about how each one of the plurality of users has interacted with the first video game;
calculate a base rating for a first user and the first video game as a function of the gameplay data record of the first user and the generated community average;
calculate a plurality of external ratings for the first video game that are each based on at least one of the external source data records;
generate an external average by combining the plurality of external ratings with a plurality of respective weights;
generate an adjustment value that is a function of the generated external average and a generated base rating for the first video game that is based on the plurality of users that have interacted with the first video game; and
derive an implicit rating for the first video game by adjusting, based on the generated adjustment value, the base rating for the first user.

2 . The computer system of claim 1 , wherein each of the calculated plurality of external ratings is for one of a plurality of different external source categories.

3 . The computer system of claim 2 , wherein a plurality of different external source categories includes a critic review category, a user review category, and a sale/ownership category.

4 . The computer system of claim 2 , wherein the plurality of external source data records includes multiple external source data records that correspond to a first category of the plurality of different external source categories, wherein each one of the multiple external source data records corresponds to a different external source of the first category.

5 . The computer system of claim 4 , wherein each of the multiple external source data records includes a critic review score from one of the different external sources that are within the first category.

6 . The computer system of claim 4 , wherein each of the multiple external source data records includes a calculated user-based review score that is based on a plurality of user-provided review scores from a corresponding external source.

7 . The computer system of claim 6 , wherein a user external rating of the calculated plurality of external ratings is based on averaging together the calculated user-based review scores from each of multiple external source data records, wherein each calculated user-based review score is weighted for the averaging based on how many review scores are included in each plurality of user-provided review scores that are from the corresponding external source.

8 . The computer system of claim 1 , wherein the base rating for the first user is based on determination of a midpoint for the plurality of gameplay data records.

9 . The computer system of claim 8 , wherein the base rating for the first user is determined to be less than a midpoint on an implicit rating scale when the gameplay data record corresponds to gameplay that is less than the determined midpoint for the plurality of gameplay data records.

10 . The computer system of claim 1 , wherein each of the plurality of gameplay data records includes data for an amount of time played for the first video game, a number of play sessions for playing the video game, and/or a number of games played by a corresponding user.

11 . The computer system of claim 1 , wherein the implicit rating is further based on clipping a preliminary implicit rating based on determination that the preliminary implicit rating is outside of a rating range.

12 . The computer system of claim 1 , wherein the processing system is further configured to:
generate, based on the determined implicit rating, a video game recommendation for a video game that is different from the first video game, wherein the video game recommendation is presented to the first user as part of a graphical user interface.

13 . A method for generating implicit, user-specific ratings for video games that are played by users, the method performed on a computer system, the method comprising:
generating a community data set for a first video game that is derived from a plurality of gameplay data records that each include data for how a respective user of a plurality of users have played at least the first video game, the community data set representing how, collectively, the plurality of users have played the first video game; assigning a base rating that is for a first user of the first video game, the base rating assigned based on assessment of gameplay data for the first user for the first video game relative to other gameplay data in the generated community data set for the first video game; generating a representative base rating for the plurality of users, the representative base rating being based on the plurality of gameplay data records for the plurality of users; generating an external rating that is based on plurality of external source data records that each correspond to an external source(s), wherein at least one of the external source(s) is for external data that references the first video game; generating an adjustment value that is a function of the generated external rating and the representative base rating for the plurality of users; and calculating an implicit rating for the first video game that is personalized to the first user, the implicit rating calculated by adjusting, based on the generated adjustment value, the base rating for the first user.

14 . The method of claim 13 , wherein each of the plurality of external source data records is for one of a plurality of different external source categories,
wherein the generated external rating is based on a calculation that includes a plurality of category ratings that each correspond to one of the plurality of different external source categories.

15 . The method of claim 14 , wherein the plurality of different external source categories includes a critic review category, a user review category, and a sale/ownership category,
wherein the plurality of category ratings includes a critic review category rating, a user review category rating, and a sale/ownership category rating.

16 . The method of claim 15 , wherein the critic review category rating is based on averaging critic reviews from multiple different external sources.

17 . The method of claim 13 , further comprising:
generating, based on the calculated implicit rating, a video game recommendation for a video game that is different from the first video game; causing the video game recommendation to be presented, as part of a graphical user interface, to the first user on a display device that associated with a computing device being used by the first user.

18 . The method of claim 13 , wherein data for each of the plurality of gameplay data records includes an amount of time played for the first video game, a number of play sessions for playing the video game, and/or a number of games played

Assignees

• Nintendo Co Ltd

Inventors

• Ranjan Sharad
• Tran David

Classifications

• G06Q30/0202

  Market predictions or forecasting for commercial activities · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• A63F13/79

  involving player-related data, e.g. identities, accounts, preferences or play histories · CPC title

• A63F13/46

  Computing the game score · CPC title

• A63F2300/535

  for monitoring, e.g. of user parameters, terminal parameters, application parameters, network parameters · CPC title