Goal-Driven Optimization

Goal-Driven Optimization

Achieving a target objective, goal or aspiration level are relevant aspects of decision making under uncertainties. We develop a goal driven stochastic optimization model that takes into account an aspiration level. Our model maximizes the shortfall aspiration level criterion, which encompasses the probability of success in achieving the goal and an expected level of under-performance or shortf...

Goal-Driven Answer Extraction

We describe the structure and functioning of an answer-extraction system built from the ground up, in only three person-months, using shallow text-processing techniques. Underlying these techniques is the attribution to each question of a goal type serving to characterize the outward form of candidate answers. The goal type is used as a filter during long-answer extraction, essentially a small-...

Issues in Goal - Driven

When a reasoner explains surprising events for its internal use, a key motivation for explaining is to perform learning that will facilitate the achievement of its goals. Human explainers use a range of strategies to build explanations, including both internal reasoning and external information search, and goal-based considerations have a profound eeect on their choices of when and how to pursu...

Goal-Driven Learning

Goal-driven collaborative filtering

Recommender systems aim to identify interesting items (e.g. movies, books, websites) for a given user, based on their previously expressed preferences. As recommender systems grow in popularity, a notable divergence emerges between research practices and the reality of deployed systems: when recommendation algorithms are designed, they are evaluated in a relatively static context, mainly concer...