Semantic Preference-Based Personalized Recommendation on Heterogeneous Information Network
نویسندگان
چکیده
منابع مشابه
Personalized Learning Objects Recommendation based on the Semantic-Aware Discovery and the Learner Preference Pattern
With vigorous development of the Internet, especially the web page interaction technology, distant E-learning has become more and more realistic and popular. Digital courses may consist of many learning units or learning objects and, currently, many learning objects are created according to SCORM standard. It can be seen that, in the near future, a vast amount of SCORM-compliant learning object...
متن کاملHeterogeneous Information Network Embedding for Recommendation
Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in recommender systems, called HIN based recommendation. It is challenging to develop effective methods for HIN based recommendation in both extraction and exploitation of the information from HINs. Most of HIN based recommenda...
متن کاملModeling Users' Dynamic Preference for Personalized Recommendation
Modeling the evolution of users’ preference over time is essential for personalized recommendation. Traditional time-aware models like (1) timewindow or recency based approaches ignore or deemphasize much potentially useful information, and (2) time-aware collaborative filtering (CF) approaches largely rely on the information of other users, thus failing to precisely and comprehensively profile...
متن کاملA Hybrid Personalized Recommendation Method Based on Dynamic Bayesian Network
With the rapid growth and wide application of electronic commerce, lots of information comes forth to people. However, our experiences and knowledge often do not enough to process the vast amount of information. The problem of obtaining useful information becomes more and more serious. To deal with the problem, the personalized service and recommender system play a more important role in many f...
متن کاملRecommendation based on Mining Product Reviewers’ Preference Similarity Network
Most products in e-commerce are with high cost (e.g., digital cameras, computers) and hence less likely experienced by users. Thus, the traditional recommender techniques (such as user-based collaborative filtering and content-based methods) are not applicable, because they largely assume that the users have prior experiences with the items. The “new user” is hence a typical phenomenon and chal...
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: IEEE Access
سال: 2017
ISSN: 2169-3536
DOI: 10.1109/access.2017.2751682