Recommendation has received tremendous attention recently due to its wide and successful applications across different domains. Different from traditional setting of recommendation tasks, modern recommendation tasks are usually exposed in a context-rich environment. For example, in addition to a user-item rating matrix, users and items are connected to other objects via different relationships ...

Point-of-interest (POI) recommendation that suggests new places for users to visit arises with the popularity of location-based social networks (LBSNs). Due to the importance of POI recommendation in LBSNs, it has attracted much academic and industrial interest. In this paper, we offer a systematic review of this field, summarizing the contributions of individual efforts and exploring their rel...

RECOMMENDATION 1: In patients with respiratory symptoms, particularly dyspnea, spirometry should be performed to diagnose airflow obstruction. Spirometry should not be used to screen for airflow obstruction in asymptomatic individuals. (Grade: strong recommendation, moderate-quality evidence.) RECOMMENDATION 2: Treatment for stable chronic obstructive pulmonary disease (COPD) should be reserved...

DESCRIPTION The American College of Physicians (ACP) developed this guideline to present the evidence and provide clinical recommendations on the nonsurgical management of urinary incontinence (UI) in women. METHODS This guideline is based on published English-language literature on nonsurgical management of UI in women from 1990 through December 2013 that was identified using MEDLINE, the Co...

The trust plays an extremely important role in online shopping. In order to make online shopping trusty, this paper puts foreword a new trust model in e-commerce environment GIR-TM (Groups’ Internal Recommendation Trust Model). First, it regarded the network as a combination of groups, and then did the internal recommendation based on these groups. The GIR-TM, in the process of recommendation, ...

Establishing a reasonable and efficient compulsory education balance index system is very important to boost the all-around of development, then realize course recommendation for students with different attributes. Based on this, research aimed at problems in college English evaluation, establish MOOC evaluation based improved neural network algorithm. The first constructed data elements, estab...

Recommendation systems are the agents that help the learner to identify a subset of suitable learning resources from a variety of choices. Recommendation Systems is a widely explored field since the last decade. Much of the work is going on in recommendation systems that are based on the evaluation of resources and users‟ data. In this paper we concentrate on E-Learning Recommendation Systems. ...