FoldCons: A Simple Way To Improve Tag Recommendation
نویسندگان
چکیده
Tag recommendation is a major aspect of collaborative tagging systems. It aims to recommend tags to a user for tagging an item. In this paper we present a part of our work in progress which is a novel improvement of recommendations by re-ranking the output of a tag recommender. We mine association rules between candidates tags in order to determine a more consistent list of tags to recommend. Our method is an add-on one which leads to better recommendations as we show in this paper. It is easily parallelizable and morever it may be applied to a lot of tag recommenders. The experiments we did on five datasets with two kinds of tag recommender demonstrated the efficiency of our method.
منابع مشابه
Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملPersonalized Deep Learning for Tag Recommendation
Social media services deploy tag recommendation systems to facilitate the process of tagging objects which depends on the information of both the user’s preferences and the tagged object. However, most image tag recommender systems do not consider the additional information provided by the uploaded image but rely only on textual information, or make use of simple low-level image features. In th...
متن کاملFolksonomy-based Tag Recommendation for Online Audio Clip Sharing
Collaborative tagging has emerged as an efficient way to semantically describe online resources shared by a community of users. However, tag descriptions present some drawbacks such as tag scarcity or concept inconsistencies. In these situations, tag recommendation strategies can help users in adding meaningful tags to the resources being described. Freesound is an online audio clip sharing sit...
متن کاملContent-Based Music Recommender Systems: Beyond simple Frame-Level Audio Similarity Dissertation zur Erlangung des akademischen Grades
This thesis aims at improving content-based music recommender systems. Besides a general introduction to music recommendation and an in-depth discussion of evaluation methods of content-based music recommender systems, improvements on two different abstraction levels are considered in this thesis: The first and most obvious way to improve a content-based music recommender system is to improve t...
متن کاملTag Recommendation Based on Social Comment Network
Tagging has rapidly become a popular way to annotate the content on social network sites. Tags describe the contents of the resource or provide additional contextual and semantical information to make the content more easily browsable and discoverable by others. However, as tagging is not constrained by a controlled vocabulary and a certain number of resources have no comments, tags tend to be ...
متن کامل