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Recommendation prediction based on preference elicitation

机译:基于偏好启发的推荐预测

摘要

Methods and systems for generating prediction data are described. In an example, a processor may retrieve preferential data from a memory. The preferential data may include a set of preferences that corresponds to a first subset of objects among a set of objects, and may exclude preferences associated with a second subset of objects among the set of objects. Each preference may indicate a preferred object between a respective pair of objects among the first subset of objects. The processor may determine first predicted ratings corresponding to the first subset of objects based on the preferential data. The processor may determine second predicted ratings corresponding to the second subset of objects based on the preferential data. The processor may generate prediction data by populating entries of the prediction data with the first and second predicted ratings, where the prediction data may include predicted ratings of the set of objects.
机译:描述了用于生成预测数据的方法和系统。在示例中,处理器可以从存储器检索优先数据。偏好数据可以包括与一组对象中的对象的第一子集相对应的一组偏好,并且可以排除与该组对象中的对象的第二子集相关联的偏好。每个偏好可以指示对象的第一子集中的相应对象对之间的优选对象。处理器可以基于优先数据确定与对象的第一子集相对应的第一预测等级。处理器可以基于优先数据确定与对象的第二子集相对应的第二预测等级。处理器可以通过用第一预测等级和第二预测等级填充预测数据的条目来生成预测数据,其中,预测数据可以包括对象集合的预测等级。

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