A novel latent factor model for recommender system
نویسندگان
چکیده
منابع مشابه
A Novel Latent Factor Model for Recommender System
Matrix factorization (MF) has evolved as one of the better practice to handle sparse data in field of recommender systems. Funk singular value decomposition (SVD) is a variant of MF that exists as state-of-the-art method that enabled winning the Netflix prize competition. The method is widely used with modifications in present day research in field of recommender systems. With the potential of ...
متن کاملLatent Dirichlet Allocation based Recommender System for Twitter Followee Recommendation
Recommender System is a very important tool in today’s social networking and Ecommerce systems. Many existing technologies on recommender system depends on bagof-words based similarity methods to cluster the users on basis of which then it recommend new followees. These methods are not 100% correct due to many reasons one of them is incorrect topic identification. Latent Dirichlet Allocation (L...
متن کاملA Novel Recommender System in IoT
In Internet of Things (IoT), selling smart physical objects together with a compatible mobile app becomes an upcoming trend. The app allows to control or monitor the physical object and its sensors in an easy, ubiquitous, and user friendly way. In this post, we present a novel recommender system which uses publicly available data about these apps as a source for personalization. The proposed sy...
متن کاملA Novel Method for Travel System Patterns
Due to population growth in urban areas, especially in the capital cities in developing countries, the use of private vehicles are increasing, leading to many problems such as congestion, pollution, noise, long travel time, high travel cost and more side effects. In such circumstances government policy would encourage people to use public transportation. In the meantime, employing the Intellige...
متن کاملA Novel Ontology-based Recommender System for Online Forums
Online forums enable users to discuss together around various topics. One of the serious problems of these environments is high volume of discussions and thus information overload problem. Unfortunately without considering the users interests, traditional Information Retrieval (IR) techniques are not able to solve the problem. Therefore, employment of a Recommender System (RS) that could sugges...
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: Journal of Information Systems and Technology Management
سال: 2016
ISSN: 1807-1775
DOI: 10.4301/s1807-17752016000300008