Improved hybrid recommendation with user similarity for adult learners
نویسندگان
چکیده
منابع مشابه
Similarity measurement for describe user images in social media
Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...
متن کاملAnalysis of the User Similarity Network for Distributed Recommendation
Recommendation services are increasingly becoming indispensable part of people’s everyday online experiences. However, serious issues on customer data privacy and ownership, recommendation security, and difficulty in generating cross-domain and cross-site recommendations arise with the centralized server-based architecture currently employed by online service and product providers. We propose a...
متن کاملHybrid Recommendation Models for Binary User Preference Prediction Problem
This paper presents detailed information of our solutions to the task 2 of KDD Cup 2011. The task 2 is called binary user preference prediction problem in the paper because it aims at separating tracks rated highly by specific users from tracks not rated by them, and the solutions of this task can be easily applied to binary user behavior data. In the contest, we firstly implemented many differ...
متن کاملCross-domain item recommendation based on user similarity
Cross-domain recommender systems adopt multiple methods to build relations from source domain to target domain in order to alleviate problems of cold start and sparsity, and improve the performance of recommendations. The majority of traditional methods tend to associate users and items, which neglected the strong influence of friend relation on the recommendation. In this paper, we propose a c...
متن کاملPersonalized recommendation with corrected similarity
Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommendation systems achieve great success. However, the computations of similarities are overestimated or underestimated outstandingly due to the defective strategy of unidirectional similarity estimation. In this paper, we solve this drawback by leveragi...
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: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2018.5353