Collaborative Filtering: Data Sparsity Challenges
نویسندگان
چکیده
منابع مشابه
Data Sparsity Issues in the Collaborative Filtering Framework
With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user efficiency has emerged. Within the fields of user profiling and Web personalization several popular content filtering techniques have been developed. In this chapter we present one of such techniques – collaborative filtering. Apart ...
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Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...
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Collaborative filtering (CF), as a personalized recommending technology, has been widely used in e-commerce and other many personalized recommender areas. However, it suffers from some problems, such as cold start problem, data sparsity and scalability, which reduce the recommendation accuracy and user experience. This paper aims to solve the data sparsity in CF. In the paper, cliquesbased data...
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As a novel method for alleviating the sparsity problem in collaborative filtering (CF), we explore crowdsourcing-based CF, namely CrowdCF, which solicits new ratings from the crowd. We study three key questions that need to be addressed to effectively utilize CrowdCF: (1) how to select items to show for crowd workers to elicit extra ratings, (2) how to decide the minimum quantity asked to the c...
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Collaborative filtering is an important technique of information filtering, commonly used to predict the interest of a user for a new item. In collaborative filtering systems, this prediction is made based on user-item preference data involving similar users or items. When the data is sparse, however, direct similarity measures between users or items provide little information that can be used ...
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ژورنال
عنوان ژورنال: International Journal of Multidisciplinary and Current Research
سال: 2018
ISSN: 2321-3124
DOI: 10.14741/ijmcr/v.6.6.13