Abstract: Systems, methods and computer program products for generating substitute titles for a content item in response to a user submitted title for the content item. A method receives a user generated title and generates a plurality of candidate substitute titles. A first quality score is calculated for the user generated title and a plurality of second quality scores are generated for the plurality of candidate substitute titles. The user generated title for the content item is replaced with at least one of the plurality of candidate substitute titles on the basis of the quality scores.

Abstract: Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match.

Abstract: A system and method for selecting content that is representative of one or more documents is provided. Aspects provide for a fully automated machine-learned system that does not require costly manual selection and supervision of content. The system enables search engines to leverage existing news feeds and content bases to generate a more compelling presentation of search engine results.

Abstract: Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match.

Abstract: Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match.

Abstract: The present invention is directed towards systems, methods and computer program products for generating substitute titles for a content item in response to a user submitted title for the content item. The method of the present invention comprises receiving a user generated title and generating a plurality of candidate substitute titles. A first quality score is calculated for the user generated title and a plurality of second quality scores are generated for the plurality of candidate substitute titles. The user generated title for the content item is replaced with at least one of said plurality of candidate substitute titles on the basis of the quality scores.

Abstract: Techniques for automatically scoring submissions to an online question-and-answer submission system are disclosed. According to one such technique, an initial set of user submissions are scored by human operators and/or automated algorithmic mechanisms. The submissions and their accompanying scores are provided as training data to an automated machine learning mechanism. The machine learning mechanism processes the training data and automatically detects patterns in the provided submissions. The machine learning mechanism automatically correlates these patterns with the scores assigned to the submissions that match those patterns. As a result, the machine learning mechanism is trained. Thereafter, the machine learning mechanism processes unscored submissions. The machine learning mechanism automatically identifies, from among the patterns that the machine learning mechanism has already detected, one or more patterns that these submissions match.