Model-based Collaborative Filtering with Transparency using Linear Regression

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

QoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering

Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...

متن کامل

Collaborative Filtering with interlaced Generalized Linear Models

Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this paper, we introduce a new model for CF based on the Generalized Linear Models formalism. Interestingly, it shares specificities of the model-based and the factorization approaches. The model is simple, and yet it perfor...

متن کامل

A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression

Cross-domain collaborative filtering (CDCF) solves the sparsity problem by transferring rating knowledge from auxiliary domains. Obviously, different auxiliary domains have different importance to the target domain. However, previous works cannot evaluate effectively the significance of different auxiliary domains. To overcome this drawback, we propose a cross-domain collaborative filtering alg...

متن کامل

Response Aware Model-Based Collaborative Filtering

Previous work on recommender systems mainly focus on fitting the ratings provided by users. However, the response patterns, i.e., some items are rated while others not, are generally ignored. We argue that failing to observe such response patterns can lead to biased parameter estimation and sub-optimal model performance. Although several pieces of work have tried to model users’ response patter...

متن کامل

A Hybrid of Singular Value Decomposition and Regression Analysis Collaborative Filtering with Linear Incremental Update Method

Collaborative filtering (CF) approach comprises of several well-known techniques which successful in creating personalized recommendations. Singular Value Decomposition (SVD) based technique is the dominant class of CF techniques. The techniques rooted from SVD concept mostly return the high accuracy recommendation results than others. These SVD-based techniques are come up with the concept of ...

متن کامل

ذخیره 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: Transactions of the Japanese Society for Artificial Intelligence

سال: 2020

ISSN: 1346-0714,1346-8030

DOI: 10.1527/tjsai.d-j61