THE IMPROVED MODEL OF USER SIMILARITY COEFFICIENTS COMPUTATION FOR RECOMMENDATION SYSTEMS
نویسندگان
چکیده
منابع مشابه
the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولA Novel Trust Computation Method Based on User Ratings to Improve the Recommendation
Today, the trust has turned into one of the most beneficial solutions to improve recommender systems, especially in the collaborative filtering method. However, trust statements suffer from a number of shortcomings, including the trust statements sparsity, users' inability to express explicit trust for other users in most of the existing applications, etc. Thus to overcome these problems, this ...
متن کاملinvestigating the feasibility of a proposed model for geometric design of deployable arch structures
deployable scissor type structures are composed of the so-called scissor-like elements (sles), which are connected to each other at an intermediate point through a pivotal connection and allow them to be folded into a compact bundle for storage or transport. several sles are connected to each other in order to form units with regular polygonal plan views. the sides and radii of the polygons are...
Analysis 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 کاملUser-Weight Model for Item-based Recommendation Systems
Nowadays, item-based Collaborative Filtering (CF) has been widely used as an effective way to help people cope with information overload. It computes the item-item similarities/differentials and then selects the most similar items for prediction. A weakness of current typical itembased CF approaches is that all users have the same weight in computing the item relationships. In order to improve ...
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: Advanced Information Systems
سال: 2020
ISSN: 2522-9052
DOI: 10.20998/2522-9052.2020.3.06