Preliminary data-based matrix factorization approach for recommendation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Matrix Factorization+ for Movie Recommendation

We present a novel model for movie recommendations using additional visual features extracted from pictural data like posters and still frames, to better understand movies. In particular, several context-based methods for recommendation are shown to be special cases of our proposed framework. Unlike existing context-based approaches, our method can be used to incorporate visual features – featu...

متن کامل

Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation

User groups on photo sharing websites, such as Flickr, are self-organized communities to share photos and conversations with similar interest and have gained massive popularity. However, the huge volume of groups brings troubles for users to decide which group to choose. Further, directly applying collaborative filtering techniques to group recommendation will suffer from cold start problem sin...

متن کامل

A Content-Based Matrix Factorization Model for Recipe Recommendation

This paper aims at bringing recommendation to the culinary domain in recipe recommendation. Recipe recommendation possesses certain unique characteristics unlike conventional item recommendation, as a recipe provides detailed heterogeneous information about ingredients and cooking procedure. Thus, we propose to treat recipes as an aggregation of features, which are extracted from ingredients, c...

متن کامل

Content-Based Social Recommendation with Poisson Matrix Factorization

We introduce Poisson Matrix Factorization with Content and Social trust information (PoissonMF-CS), a latent variable probabilistic model for recommender systems with the objective of jointly modeling social trust, item content and user’s preference using Poisson matrix factorization framework. This probabilistic model is equivalent to collectively factorizing a non-negative user–item interacti...

متن کامل

Towards Social Recommendation based on Probabilistic Matrix Factorization

As an important tool to help users filter Internet information, recommender system has played a very important role wherever in academia or in industrial area. During the past years, different recommendation approaches based on the social network have been proposed with the rapid development of online social networks. Different from the traditional ones which assume all the users are independen...

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: Information Processing & Management

سال: 2021

ISSN: 0306-4573

DOI: 10.1016/j.ipm.2020.102384