Abstract: Diversity ranking algorithms can help select a number of items from a larger number of candidate items. Techniques include assessing diversity of items in a set, where each of those items has one or more associated attribute values. Items may also have an associated score, which can vary in different circumstances. Item scores (e.g. relevance scores) can be combined with diversity ranking scores for an evaluation set to produce a weighted diversity ranking score for a candidate item. This weighted score can then be used to determine whether a particular candidate item should be added to a set of existing items (e.g. a set of items already selected). A window size can also be used when performing diversity ranking, and in some cases, an evaluation set for ranking purposes includes only a subset of existing items plus the candidate item.

Abstract: Described are systems and methods for determining session intent of a user. Different users can use a network-based application in many different ways based on, for example, the user's purpose for using the application, the device on which the user is executing the application, the user themselves, date, time, location, etc. Through the collection of user activities during a user session, the intent of a user session can be determined. Once determined, content provided through the application can be further personalized to correspond to the determined session intent.

Abstract: Described are systems and methods for determining session intent of a user. Different users can use a network-based application in many different ways based on, for example, the user's purpose for using the application, the device on which the user is executing the application, the user themselves, date, time, location, etc. Through the collection of user activities during a user session, the intent of a user session can be determined. Once determined, content provided through the application can be further personalized to correspond to the determined session intent.

Abstract: Described are systems and methods for determining session intent of a user. Different users can use a network-based application in many different ways based on, for example, the user's purpose for using the application, the device on which the user is executing the application, the user themselves, date, time, location, etc. Through the collection of user activities during a user session, the intent of a user session can be determined. Once determined, content provided through the application can be further personalized to correspond to the determined session intent.