منابع مشابه
User-Centric vs. System-Centric Evaluation of Recommender Systems
Recommender Systems (RSs) aim at helping users search large amounts of contents and identify more effectively the items (products or services) that are likely to be more useful or attractive. The quality of a RS can be defined from two perspectives: system-centric, in which quality measures (e.g., precision, recall) are evaluated using vast datasets of preferences and opinions on items previous...
متن کاملInformation Retrieval and User-Centric Recommender System Evaluation
Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the recommendation algorithm. Recently, however, discrepancies between commonly used metrics (e.g. precision, recall, root-mean-square error) and the experienced quality from the users’ have been brought to light. This project aims to address these discrepancies by attempting to...
متن کاملUser Centric Web Page Recommender System Based on User Profile and Geo-Location
A web recommender system assists a user to manage the vast amount of search results suggested by a search engine when surfing the Web with the help of recommender system agents. In this case the recommender system will reduce the effort a user has to spend in searching and navigating to important web pages or web documents and simultaneously increases the user ability to find more relevant docu...
متن کامل4g: a User-centric System
The exponential growth of user demands and the limitations of Third Generation of Mobile Communication Systems (3G) have brought researchers to start reflecting on the Fourth Generation (4G). Many prophetic visions have appeared in literature presenting the future generation as the ultimate boundary of the wireless mobile communication without any limit in its potential, but practically not giv...
متن کاملA social recommender system based on matrix factorization considering dynamics of user preferences
With the expansion of social networks, the use of recommender systems in these networks has attracted considerable attention. Recommender systems have become an important tool for alleviating the information that overload problem of users by providing personalized recommendations to a user who might like based on past preferences or observed behavior about one or various items. In these systems...
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ژورنال
عنوان ژورنال: Information Management and Business Review
سال: 2018
ISSN: 2220-3796
DOI: 10.22610/imbr.v10i3.2460