A weighted adaptation method on learning user preference profile
نویسندگان
چکیده
منابع مشابه
A Weighted Method to Update Network User Preference Profile Dynamically
There are many alternatives in a Recommender System (RS) that can be represented by numerical attributes. One of the most challenging tasks in developing RS is the design of techniques that can infer user preferences through observation of their actions. A RS usually stores a personal preference profile associated with each user, but the initial profile of a user is usually incomplete and impre...
متن کاملUser Preference Through Learning User Profile for Ubiquitous Recommendation Systems
As ubiquitous commerce is coming, the ubiquitous recommendation systems utilize collaborative filtering to help users with fast searches for the best suitable items by analyzing the similar preference. However, collaborative filtering may not provide high quality recommendation because it does not consider user’s preference on the attribute, the first rater problem, and the sparsity problem. Th...
متن کاملA Context-Aware based Dynamic User Preference Profile Construction Method
This paper proposed a new horizon for the personalized information retrieval which can use image input instead of text query to express the user’s intention. Furthermore, this paper proposed a novel dynamic user preference profile construction method which can comprehensively track the users’ local device operation behavior and browsing behavior by using the context information (interactive his...
متن کاملA Novel Image Denoising Method Based on Incoherent Dictionary Learning and Domain Adaptation Technique
In this paper, a new method for image denoising based on incoherent dictionary learning and domain transfer technique is proposed. The idea of using sparse representation concept is one of the most interesting areas for researchers. The goal of sparse coding is to approximately model the input data as a weighted linear combination of a small number of basis vectors. Two characteristics should b...
متن کاملHybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification
In regard to document classification, semisupervised learning using the Naive Bayes method and EM algorithm was a great success, and we refer to this method as NBEM in this paper. Although NBEM is also effective for domain adaption of document classification, there is still room for improvement because NBEM does not employ valuable information for this task, that is the difference between sourc...
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: Knowledge-Based Systems
سال: 2016
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2016.09.003