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We address the emerging challenge of school segregation within the context of free school choice systems. Households take into account both proximity and demographic composition when deciding on which schools to send their children to, potentially ...

The online content, including live streaming and short videos, provides abundant visual and textual product information to users, which offers insights into users’ multiple and changeable preferences toward product style, brand, color, etc. These ...

Recommender Systems are helpful to many by filtering the information according to an individual’s preferences. However, the choice of a person may change with time. Keeping track of these changes or predicting the next sequence of items is ...

• The distribution of users preferences is modeled using Markov random field.
• Preference relations is used for collaborative filtering for better ranking.
• Both point and distribution estimation are done for generating ...

With the number of scientific papers growing exponentially, recommending relevant papers for researchers has become an important and attractive research area. Existing paper recommendation methods pay more attention to the textual similarity or ...

Product recommendation systems have become an effective tool to help users make choices under information overload. For sequence recommendation, the user’s dynamic preferences and the correlations between items are essential for exploring temporal ...

This paper studies the problem of offloading an application consisting of dependent tasks in multi-access edge computing (MEC). This problem is challenging because multiple conflicting objectives exist, e.g., the completion time, ...

• Formulate a multi-objective optimization problem of offloading dependent tasks (ODT) with dynamic user preferences.

Online recruitment aims to match right talents with right jobs (Person-Job Fit, PJF) online by satisfying the preferences of both persons (job seekers) and jobs (recruiters). Recently, some research tried to solve this problem by deep semantic ...