منابع مشابه
Survey on Content Based Recommendation System
Today, as the Web is rapidly growing at a faster rate, finding relevant information is becoming extremely difficult. Information or content can be in any form such as music, video, images or text which is of interest to the users. Therefore Recommendation systems come into picture. Recommendation systems are a sub-category of information filtering system that help people find products, correct ...
متن کاملA Survey on Venue Recommendation System
As of late, proposal frameworks have seen huge advancement in the field of learning building. The greater part of the current proposal frameworks construct their models in light of community sifting methodologies that make them easy to execute. In any case, execution of a large portion of the current community oriented separating based suggestion framework endures because of the difficulties, f...
متن کاملA Literature Survey on Recommendation System Based on Sentimental Analysis
Recommender systems have grown to be a critical research subject after the emergence of the first paper on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems, has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation and classification of that research. Because of this, we reviewed article...
متن کاملSurvey on News Recommendation
Recommender Systems have evolved as an answer to information overload problem prevalent with online users, looking for relevant information out of a huge premise of content available online. Such systems are used to provide recommendations to the users guiding them towards items that match their interest areas and choice. News Recommendation is a specific research area under recommender systems...
متن کاملA Hospital Recommendation System Based on Patient Satisfaction Survey
Surveys are used by hospitals to evaluate patient satisfaction and to improve general hospital operations. Collected satisfaction data is usually represented to the hospital administration by using statistical charts and graphs. Although such visualization is helpful, typically no deeper data analysis is performed to identify important factors which contribute to patient satisfaction. This work...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016908821