… related to tag recommendation has been applied to long-… of short text by applying conventional
statistical techniques that … filtering based on community tagging behaviour and content-…

… (2017) provides the BEA algorithm to improve communities’ search, to overcome this limitation
and … the effectiveness of the proposed method for personalised clothing recommendation. …

… CF method is applied to compute tag-based user similarities and maNe recommendations. In
[14], TF-… have been proposed to address this problem, latent semantic analysis [17-19], and …

… We apply community detection methods for clustering of tags. … with semantic analysis of tags
and provided recommendations … Usually, if we want to examine the tag-based recommender …

… Such a tag-based summary would also provide market … work is related to existing
research on sentiment analysis. … We apply these syntactic rules after parsing the reviews and …

… latent semantic analysis (LSA) methods in their work. In another study that is concerned with
product reviews … the performance of the tag-based applications, because, for example, in the …

… and recommendation (EDAR) model based on semantics of tags; the framework consists of
community detection and EDAR. Specifically, this paper firstly mines communities based on …

… the tag recommendation results of the basic latent Dirichlet … into a low-dimensional latent
semantic space, which helps to … similarity and the local tag-based functional similarity. We can …

… applied at the word- and sentence-levels and subsequently … useful tool in the deep learning
community in recent years. To … They proposed a tag-based multi-classification algorithm that …

… In the information retrieval community, question routing has … can apply a variety of features
to the expert recommendation … in a low-dimension space, Latent Semantic Indexing (LSI) [26]…