2016
DOI: 10.3991/ijet.v11i11.6256
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A Top-N Algorithm-based Personalized Learning Recommendation System for Digital Library

Abstract: Abstract-The digital library brings convenience, but meanwhile, it also brings the problems of overloaded information and over-diversified forms,thus search becomes difficult. Personalized Learning Recommendation System is the key to solve the problems, and suitable for the situation with user diversification and demand diversification. With the System, users spend the least time and energy in accurately finding the information they need, where efficiency is improved to the greatest extent. The research conclu… Show more

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Cited by 8 publications
(2 citation statements)
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“…Pure collaborative approaches take a given user-item score matrix as the sole input and typically produce the following types of output: (a) a (numerical) prediction of how much the current user will like or dislike a certain item and (b) a list of n recommended items. Such a Top N list should, of course, not contain items that the current user has already purchased [4]. Two approaches are used in this method:…”
Section: Collaborative Recommendation Systems (Collaborative Filtering)mentioning
confidence: 99%
“…Pure collaborative approaches take a given user-item score matrix as the sole input and typically produce the following types of output: (a) a (numerical) prediction of how much the current user will like or dislike a certain item and (b) a list of n recommended items. Such a Top N list should, of course, not contain items that the current user has already purchased [4]. Two approaches are used in this method:…”
Section: Collaborative Recommendation Systems (Collaborative Filtering)mentioning
confidence: 99%
“…Digital libraries have provided users with new opportunities, including the availability of different information resources in various formats. Nevertheless, digital libraries are looking for strategies to respond to the diversity and abundance of information (Xu, 2018; Gao et al , 2016; Sastry et al , 2014); the large volume of search results from information retrieval (Sun et al , 2013); the time spent by users in retrieving resources (Chai and He, 2013); the diversity of users with different needs (Ping, 2015); low library use/utilization (Chai and He, 2013); and the gap between the existing library services and the services required by users (Fattahi, 2014). Personalization is one of the strategies that is being developed for the uniqueness and specific needs of an individual or a community (Smeaton and Callan, 2005).…”
Section: Introductionmentioning
confidence: 99%