Method for personalized news

• US 20050138049A1
• Filed: 11/12/2004
• Published: 06/23/2005
• Est. Priority Date: 12/22/2003
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Greg Linden
• Inventors: Linden, Greg
• Application Number:
  US10/985,684
• Publication Number:
  US 20050138049A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

News sources, including news World Wide Web sites, provide a list of news articles on various topics to readers. Personalized news provides an individualized list of news articles depending on the specific interests of the readers. The invention describes a method of providing personalized news by computing related articles for each article, retaining a history of all articles read by a user, finding articles similar to articles previously read by a user, and merging those similar articles with a list of popular and recent news articles. When applied to a World Wide Web-based news application, the invention can be used to build a dynamic personalized news source that changes immediately and in real-time to reflect the interests of the readers.

Claims

1. In a multi-user computer system that provides user access to a database of news articles, a method of providing personalized news from the database, the method comprising the computer-implemented steps of:

(a) generating a data structure which maps individual news articles in a database to a corresponding set of similar news articles;

(b) for each article a user has viewed in the past, accessing the data structure defined in step (a) to identify a corresponding set of similar news articles;

(c) modifying the news articles shown to a user based at least in part on the similar news articles generated in step (b);

wherein step (a) is performed in an off-line mode, and steps (b) and (c) are performed substantially in real time in response to a request by the user.

2. The method of claim 1, wherein step (a) comprises analyzing news articles viewed by users of the system to identify correlations between the news articles.

3. The method of claim 1, wherein step (a) comprises analyzing the content of news articles such as the keywords, sources, or categories of news articles to identify correlations between the articles.

4. In a multi-user computer system that provides user access to a database of documents, a method of providing a personalized list of documents from the database, the method comprising the computer-implemented steps of:

(a) generating a data structure which maps items in a database to a corresponding set of similar documents where similarity is based at least in part on correlations between documents viewed by users or correlations between the content of the documents;

(b) for each of a set of documents previously viewed by a user, accessing the data structure defined in step (a) to identify a corresponding set of similar documents;

(c) showing a user a list of documents based at least in part on the similar documents generated in step(b);

5. A method of modifying the results from a search of a database of news articles comprised the computer-implemented steps of:

(a) accessing the database using a search query;

(b) accessing a database containing a history of news articles previously viewed by the user;

(c) for each of the items in step (b), accessing a database containing similar news articles;

(d) modifying the list from step (a) using the articles from steps (b) and (c).

6. The method of claim 5, wherein the database of similar articles in step (c) is built at least in part by comparing the number of users who viewed two news articles at least once with the number of users who viewed each news articles individually.

7. The method of claim 5, wherein the database of similar articles in step (c) is built at least in part by determining the number of keywords, categories, authors, or sources that a pair of news articles has in common.

8. The method of claim 5, wherein step (d) uses the data from step (b) to penalize or eliminate any article that the user has already viewed in the list from step (a).

9. The method of claim 5, wherein step (d) adds at least some of the similar news articles from step (c) to the original set from step (a).

10. A method of searching a database of news articles where news articles similar to those previously viewed are added to or favored in the search results.

11. The method of claim 10, wherein news articles similar to those previously viewed are determined at least in part by finding articles that have the same keywords, categories, sources, or authors as the articles previously viewed.

12. The method of claim 10, wherein news articles similar to those previously viewed are determined by at least in part by the number of users that viewed both articles relative to a number of users that viewed one or the other article.