هدف: این پژوهش با هدف آزمون مدل روابط بین سبک‌های مقابله و خودکارآمدی حرفه‌ای استرس ادراک شده ناشی از حرفه‌های سلامت در گروهی پرستاران انجام شد. روش: همبستگی، 151 نفر شاغل بخش‌های اونکولوژی دانشگاه علوم پزشکی تهران به پرسشنامه باورهای شغلی برای (پیسانتی، لامباردو، لوسیدی، لازاری برتینی، 2008)، نسخة کوتاه سیاهه موقعیت‌های استرس‌زا (کوهن، جانگ استین، 2006) (ولفگانگ، 1988) پاسخ دادند. مفروض روش آم...

Cold start is one of the main challenges in recommender systems. Solving sparsechallenge of cold start users is hard. More cold start users and items are new. Sine many general methods for recommender systems has over fittingon cold start users and items, so recommendation to new users and items is important and hard duty. In this work to overcome sparse problem, we present a new method for rec...

Many real-world planning problems require generating plans that maximize the parallelism inherent in a problem. There are a number of partial-order planners that generate such plans; however, in most of these planners it is unclear under what conditions the resulting plans will be correct and whether the planner can even nd a plan if one exists. This paper identiies the underlying assumptions a...

When managing their growing service portfolio, many manufacturers in B2B markets face two significant problems: They fail to communicate the value of their service offerings to their customers, and they lack the capabilities to generate profits with value-added services. To tackle these two issues, we design and evaluate a collaborative filtering recommender system which (a) makes individualize...

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in recommender systems, called HIN based recommendation. It is challenging to develop effective methods for HIN based recommendation in both extraction and exploitation of the information from HINs. Most of HIN based recommenda...

The introduction of recommender systems to existing online services is now practically inevitable, with the increasing number of items and users on online services. Popular recommender systems have successfully implemented satisfactory systems, which are usually based on collaborative filtering. However, collaborative filtering-based recommenders suffer from well-known problems, such as popular...

An essential component of building a successful crowdsourcing market is effective task matching, which matches a given task to the right crowdworkers. In order to provide highquality task matching, crowdsourcing systems rely on past task-solving activities of crowdworkers. However, the average number of past activities of crowdworkers in most crowdsourcing systems is very small. We call the wor...