FUTURE EVENT DETECTION
First Claim
1. A method for providing a personalized future event notification, comprising:
- evaluating a content item utilizing a future event detection model to identify a future event, the future event detection model trained to identify future events based upon part of speech analysis and entity recognition analysis of text within the content item;
identifying a user having a user interest in the future event above an interest threshold based upon user identifying information being indicative of the user interest in the future event; and
providing a personalized future event notification for the future event to the user.
6 Assignments
0 Petitions
Accused Products
Abstract
One or more methods and/or techniques for providing a personalized future event notification to a user are provided herein. A content item (e.g., a news article, a social network post, etc.) may be evaluated utilizing a future event detection model to identify a future event (e.g., a festival). The future event detection model may have been trained to identify future events based upon part of speech analysis and entity recognition analysis of text within content items. In an example, the future event detection model may be used to identify locational features, temporal features, and/or entities from the content item. A user having a user interest in the future event above an interest threshold may be identified based upon user identifying information (e.g., a social network profile) being indicative of user interest in the future event. A personalized future event notification of the future event may be provided to the user.
-
Citations
20 Claims
-
1. A method for providing a personalized future event notification, comprising:
-
evaluating a content item utilizing a future event detection model to identify a future event, the future event detection model trained to identify future events based upon part of speech analysis and entity recognition analysis of text within the content item; identifying a user having a user interest in the future event above an interest threshold based upon user identifying information being indicative of the user interest in the future event; and providing a personalized future event notification for the future event to the user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
-
-
13. A method for training a future event detection model, comprising:
-
performing part of speech analysis on training content to generate a speech analysis result that identifies at least one of a subject, a predicate, an object, or an adverbial clause corresponding to at least one of a location or a future time; performing entity recognition analysis to extract an entity relevant to a future event from the training content; and assigning a relevance score between the entity and the speech analysis result to train a future event detection model for future event detection. - View Dependent Claims (15)
-
-
14. The method of 13, the future event detection model comprising:
a Gradient Boosting Decision Tree (GBDT) model or an XQuery Data Model (XDM).
-
16. A system for identifying future event content, comprising:
a model training component configured to; perform part of speech analysis on training content to generate a speech analysis result that identifies at least one of a subject, a predicate, an object, or an adverbial clause corresponding to at least one of a location and a future time; perform entity recognition analysis to extract an entity relevant to a future event from the training content; and assign a relevance score between the entity and the speech analysis result to train a future event detection model for future event detection. - View Dependent Claims (17, 18, 19, 20)
Specification