Tag-Aware Recommender Systems: A State-of-the-Art Survey
نویسندگان
چکیده
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...
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In social tagging system, a user annotates a tag to an item. The tagging information is utilized in recommendation process. In this paper, we propose a hybrid item recommendation method to mitigate limitations of existing approaches and propose a recommendation framework for social tagging systems. The proposed framework consists of tag and item recommendations. Tag recommendation helps users a...
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Cross-domain recommendation is an emerging research topic. In the last few years an increasing amount of work has been published in various areas related to the Recommender System field, namely User Modeling, Information Retrieval, Knowledge Management, and Machine Learning. The problem has thus been addressed from distinct perspectives. Hence there are even conflicting definitions of the cross...
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Collaborative tagging systems, also known as folksonomies, have grown in popularity over the Web on account of their simplicity to organize several types of content (e.g. Web pages, pictures and video) using open-ended tags. The rapid adoption of these systems has lead to an increasing amount of users providing information about themselves and, at the same time, a growing corpus of rich social ...
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ژورنال
عنوان ژورنال: Journal of Computer Science and Technology
سال: 2011
ISSN: 1000-9000,1860-4749
DOI: 10.1007/s11390-011-0176-1