Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available on this user or item. Various solutions to this ‘cold-start problem’ have been proposed in the literature. However, many real-life e-commerce applications suffer from an aggravated, recurring version of cold-start even for know...

In four experiments the major effect on ̄owering was that of temperature. Temperatures applied between 2 October and 20 February in ̄uenced the time of ̄owering of D. allwoodii, `Doris', while in D. alpinus, `Pike's Pink', temperatures applied over a longer period between 2 October and 11 March in ̄uenced the time of ̄owering. Keeping stock plants at low temperatures, before cuttings were taken, ...

For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight The organization of the subcloud layer into cold pools, areas of evaporatively cooled downdraft air spreading on the surface, is one of the key processes that help sustainin deep convection. It has long been known cold pools can spawn new convective cells by mechanically l...

Some content in multimedia resources can depict or evoke certain emotions in users. The aim of Emotional Information Retrieval (EmIR) is to identify knowledge about emotional-laden documents and to use these findings in a new kind of World Wide Web information service that allows users to search and browse by emotion. The cold-start problem arises in systems where users need to rate or tag docu...

The Internet of Things (IoT) aims at interconnecting everyday objects (including both things and users) and then using this connection information to provide customized user services. However, IoT does not work in its initial stages without adequate acquisition of user preferences. This is caused by cold-start problem that is a situation where only few users are interconnected. To this end, we ...

The cold-start recommendation is an urgent problem in contemporary online applications. It aims to provide users whose behaviors are literally sparse with as accurate recommendations possible. Many data-driven algorithms, such the widely used matrix factorization, underperform because of data sparseness. This work adopts idea meta-learning solve user’s problem. We propose a meta-learning-based ...

this study was conducted to investigate performance of native chickens produced in the centre of production and breeding of native chicken of isfahan in rural areas of isfahan province by using 1440 native pullets with age of 45 days in 4 towns and 2 climate zone of warm and cold. this study employed by coworking 60 rural families that 24 pullets with age of 45 days with ratio of 5 hen to 1 roo...