Month: April 2018

Abstract Recommender systems have been widely applied in the literature to suggest individual items to users. In this paper, we[…]

Abstract Research in recommendation systems has to date focused on recommending individual items to users. However there are contexts in[…]

Abstract Several citizen science projects engage with the public around pollinator species, typically requesting data (e.g. in the form of[…]

Abstract Recent research on Recommender Systems, specifically Collaborative Filtering, has focussed on Matrix Factorization (MF) methods, which have been shown[…]

Abstract One of the most difficult combinatorial optimization problems in recent studies is job shop scheduling. Job shop scheduling which[…]

Abstract Collaborative Filtering (CF) is one challenging problem in information retrieval, with memory based become popular among other applicable methods.[…]

Abstract Collaborative filtering is an approach that is usually used for recommendation system to get prediction value from item by[…]

Abstract Anti-plagiarism applications have been developed using various approaches. Many methods compare one document to others, regardless of their relevance.[…]

Abstract Plagiarism is a form of cheating that has been so much happen. One of prevention is to make the[…]