Social Tagging-based Recommendation Platform for Patented Technology Transfer
نویسندگان
چکیده
منابع مشابه
Social-behavior Transfer Learning for Recommendation Systems
Online recommendation systems are becoming more and more popular with the development of web. Data sparseness is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. In this paper, we try to reduce the data sparseness in the collaborative filtering problem by involving Wikipedia as an auxiliary information source. In this paper,...
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Social tagging systems allow users to annotate online resources with arbitrary labels producing rich information spaces. Given the complexity and size of these information spaces, recommender systems are essential in helping users discover new resources, tags or even other users. Building such recommenders has proved a challenge, because the data is noisy, large, and multi-dimensional. There ha...
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Tagging sites allow users to post information and organize it with tags for future retrieval and to optionally share their entries with others or keep them private. Some tagging sites also allow users to add personal reviews to their entries. Sites that offer publicly available information that includes user-generated reviews are designed to function as social recommendation systems. However, s...
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Social tagging systems have emerged as an effective way for users to annotate and share objects on the Web. However, with the growth of social tagging systems, users are easily overwhelmed by the large amount of data and it is very difficult for users to dig out information that he/she is interested in. Though the tagging system has provided interestbased social network features to enable the u...
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ژورنال
عنوان ژورنال: Journal of Intelligence and Information Systems
سال: 2015
ISSN: 2288-4866
DOI: 10.13088/jiis.2015.21.3.53