Context-Aware Recommender System Based on Boolean Matrix Factorisation
نویسندگان
چکیده
In this work we propose and study an approach for collaborative filtering, which is based on Boolean matrix factorisation and exploits additional (context) information about users and items. To avoid similarity loss in case of Boolean representation we use an adjusted type of projection of a target user to the obtained factor space. We have compared the proposed method with SVD-based approach on the MovieLens dataset. The experiments demonstrate that the proposed method has better MAE and Precision and comparable Recall and F-measure. We also report an increase of quality in the context information presence.
منابع مشابه
Context-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملسیستم پیشنهاد دهنده زمینهآگاه برای انتخاب گوشی تلفن همراه با ترکیب روشهای تصمیمگیری جبرانی و غیرجبرانی
Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems. The context information like time, location and user behaviors can enhance the quality of recommendations and customer satisfication in such systems. In this paper a context aware recommender sys...
متن کاملRevisiting Neighbourhood-Based Recommenders For Temporal Scenarios
Modelling the temporal context efficiently and effectively is essential to provide useful recommendations to users. Methods such as matrix factorisation and Markov chains have been combined recently to model the temporal preferences of users in a sequential basis. In this work, we focus on Neighbourhood-based Collaborative Filtering and propose a simple technique that incorporates interaction s...
متن کاملTechniques for cold-starting context-aware mobile recommender systems for tourism
Novel research works in recommender systems have illustrated the benefits of exploiting contextual information, such as the time and location of a suggested place of interest, in order to better predict the user ratings and produce more relevant recommendations. But, when deploying a context-aware system one must put in place techniques for operating in the cold-start phase, i.e., when no or fe...
متن کاملEvolutionary User Clustering Based on Time-Aware Interest Changes in the Recommender System
The plenty of data on the Internet has created problems for users and has caused confusion in finding the proper information. Also, users' tastes and preferences change over time. Recommender systems can help users find useful information. Due to changing interests, systems must be able to evolve. In order to solve this problem, users are clustered that determine the most desirable users, it pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015