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Tag ranking

Dong Liu, Xian-Sheng Hua, Linjun Yang, Meng Wang, Hong-Jiang Zhang
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
We also apply tag ranking into three applications: (1) tag-based image search, (2) tag recommendation, and (3) group recommendation, which demonstrates that the proposed tag ranking approach really boosts  ...  In this paper, we propose a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content.  ...  TAG RANKING In this section, we will introduce our tag ranking method.  ... 
doi:10.1145/1526709.1526757 dblp:conf/www/LiuHYWZ09 fatcat:6rvacxegebc5fpogcq4csfyuum

Learning to rank tags

Zheng Wang, Jiashi Feng, Changshui Zhang, Shuicheng Yan
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
, and then uses it for ranking new image tags.  ...  In this paper, we present a novel semi-supervised learning framework to rank image tags, which learns a ranking projection with theoretic guarantee from visual words distribution to the relevant tags distribution  ...  unsupervised tag ranking.  ... 
doi:10.1145/1816041.1816049 dblp:conf/civr/WangFZY10 fatcat:mrwf4czrhjd2xnje4ypfroupwm

Exploring tag relevance for image tag re-ranking

Jie Xiao, Wengang Zhou, Qi Tian
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
In this paper, we propose to explore the relevance between tags for image tag re-ranking.  ...  Based on our tag relevance matrix, a randomwalk approach is leveraged to discover the significance of each tag. Finally, all tags in an image are re-ranked by their significance values.  ...  ALGORITHM FRAMEWORK Given an image with several tags, our goal is to re-rank those tags, so that the more relevant the tag is to the image, the higher it is ranked.  ... 
doi:10.1145/2348283.2348473 dblp:conf/sigir/XiaoZT12 fatcat:mxe6qw65hvc5vmbosl4j6dsmsa

Qstack: Multi-tag Visual Rankings

Phi Giang Pham, Mao Lin Huang
2016 Journal of Software  
Qstack purpose is to help users to visually rank multi-tags based on grouped-score combination within and across the categorized alternatives.  ...  We conducted a qualitative study for evaluating Qstack effectiveness, and the result indicates that our approach is useful for multi-tag rankings.  ...  Group-Score Rankings Strength of Qstack is the ability to flexibly compare and rank grouped scores of tags.  ... 
doi:10.17706/jsw.11.7.695-703 fatcat:bp52cjyd7bg2bb4l2xwxeszp6i

Word frequency-rank relationship in tagged texts [article]

A. Chacoma, D. H. Zanette
2021 arXiv   pre-print
have been automatically tagged according to their grammatical role.  ...  This results point to the fact that frequency-rank relationships may reflect linguistic features associated with grammatical function.  ...  Frequency-rank relationship within tags Given the tagged vocabulary of each text, our focus is here put on the frequency-rank relationship within the sub-vocabulary corresponding to each one of the three  ... 
arXiv:2102.10992v1 fatcat:kjdep7fs2bbe7cagntbfsria6u

Scalable Faceted Ranking in Tagging Systems [chapter]

José I. Orlicki, J. Ignacio Alvarez-Hamelin, Pablo I. Fierens
2010 Lecture Notes in Business Information Processing  
We propose an alternative: (i) a ranking for each tag is computed offline on the basis of tag-related subgraphs; (ii) a faceted order is generated online by merging rankings corresponding to all the tags  ...  In this paper we analyze the problem of computing a ranking of users with respect to a facet described as a set of tags.  ...  Given a conjunction-of-tags facet, the rank-sum algorithm adds-up the ranking position of nodes in each tag-related subgraph.  ... 
doi:10.1007/978-3-642-12436-5_21 fatcat:my4ffljzh5gkfotr4oyfwkeboy

Partitioning and ranking tagged data sources

Milad Eftekhar, Nick Koudas
2013 Proceedings of the VLDB Endowment  
In particular, we take a holistic approach in organizing such tags and we propose algorithms to partition as well as rank this information collection.  ...  In contrast our ranking algorithms aim to identify few partitions fast, for suitably defined ranking functions.  ...  CONCLUSIONS We presented several algorithms to partition and rank tagged data sources and also investigated the complexity of these algorithms.  ... 
doi:10.14778/2535570.2488330 fatcat:w7r4g7igb5d57amzcyj7ctjjqi

Efficient image and tag co-ranking

Lin Wu, Yang Wang, John Shepherd
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
, which leads to the technique of co-ranking images and tags, a representative method that aims to explore the reinforcing relationship between image and tag graphs.  ...  To improve the ranking performance, one effective strategy is to work beyond the separated image graph by leveraging fruitful information from manual semantic labeling (i.e., tags) associated with images  ...  Similarly, the well-studied treatments on tag recommendation [4] and tag ranking [10] are conducted solely on the tag graph.  ... 
doi:10.1145/2502081.2502156 dblp:conf/mm/WuWS13 fatcat:ruxstqpgi5e5fpi6hmqlo4wtt4

Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors [article]

Yuqing Hou
2016 arXiv   pre-print
In this work, we proposed a novel method for image annotation, incorporating several priors: Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors.  ...  Tag-based image retrieval (TBIR) has drawn much attention in recent years due to the explosive amount of digital images and crowdsourcing tags.  ...  .: Image tag refinement towards low-rank, content-tag prior and error sparsity. In: ACM MM. (2010) 8.  ... 
arXiv:1508.07468v3 fatcat:76utmtpylfa73jymzyoa2fi47u

Automatic music tagging by low-rank representation

Yannis Panagakis, Constantine Kotropoulos
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
The problem of automatic music mood classification is addressed by resorting to low-rank representation of slow auditory spectro-temporal modulations.  ...  Consequently, the LRR exactly reveals the classification of the data, resulting into the so-called Low-Rank Representation-based Classification (LRRC).  ...  the discrete nature of the rank function.  ... 
doi:10.1109/icassp.2012.6287925 dblp:conf/icassp/PanagakisK12 fatcat:ebtg62qofzgsdhequ7whftwp6m

Content-Based Semantic Tag Ranking for Recommendation

Miao Fan, Qiang Zhou, Thomas Fang Zheng
2012 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
In this paper, we propose a novel content-based social tag ranking scheme, aiming to recommend the semantic tags that the descriptions may not contain.  ...  , and finally performs a modified graph-based ranking algorithm to refine the score of each candidate tag for recommendation.  ...  Candidate tag ranking is an iterative algorithm.  ... 
doi:10.1109/wi-iat.2012.32 dblp:conf/webi/FanZZ12 fatcat:4qs5c2l3d5c37odrqvvxae2fem

New ranking algorithms for parsing and tagging

Michael Collins, Nigel Duffy
2001 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02  
Feature-Vector Representations of Parse Trees and Tagged Sequences This paper focuses on the task of choosing the correct parse or tag sequence for a sentence from a group of "candidates" for that sentence  ...  be efficiently applied to exponential sized representations of parse trees, such as the "all subtrees" (DOP) representation described by (Bod 1998), or a representation tracking all sub-fragments of a tagged  ...  A Tagging Kernel The second problem we consider is tagging, where each word in a sentence is mapped to one of a finite set of tags.  ... 
doi:10.3115/1073083.1073128 dblp:conf/acl/CollinsD02 fatcat:hr2ee5b4svcirh6gysdarzrufe

Personalized Search Ranking Based on Semantic Tag

Lei Huang, Chan Le Wu
2013 Advanced Materials Research  
This paper provide a new personalized search ranking method, which use semantic tag and user profile to personalized the search results. The experimental results indicate that the method is effective.  ...  Ranking Based on Semantic Tag For the resource in pool, using the Symbiotic distribution feature to calculate the probability of concept belong to resource.  ...  Document Ranking In the semantic web applications, on the one hand, personalized sort algorithm is according to the user's query semantic tagging to sort the documents; On the other hand, it is according  ... 
doi:10.4028/ fatcat:wycus4tttbdzpbhvhxreiyzecy

A Bimachine Compiler for Ranked Tagging Rules [article]

Wojciech Skut, Stefan Ulrich, Kathrine Hammervold
2004 arXiv   pre-print
This paper describes a novel method of compiling ranked tagging rules into a deterministic finite-state device called a bimachine.  ...  The assignment of POS tags is done by a statistical tagger (a trigram HMM).  ...  In this framework, a tagging rule is interpreted as a regular rewrite rule φ → ψ/λ ρ.  ... 
arXiv:cs/0407046v1 fatcat:zpoi75dbs5c47hoqzny633ftwi

Image tag refinement towards low-rank, content-tag prior and error sparsity

Guangyu Zhu, Shuicheng Yan, Yi Ma
2010 Proceedings of the international conference on Multimedia - MM '10  
optimality measured by four aspects: 1) low-rank : A is of low-rank owing to the semantic correlations among the tags; 2) content consistency: if two images are visually similar, their tag vectors (i.e  ...  In this work, the tag refinement problem is formulated as a decomposition of the user-provided tag matrix D into a low-rank refined matrix A and a sparse error matrix E, namely D = A + E, targeting the  ...  and black one represents non-association, is decomposed into a low-rank matrix A (the refined tag matrix and here rank(A) = 13) and a sparse matrix E (tagging error in user-provided tags and sparse error  ... 
doi:10.1145/1873951.1874028 dblp:conf/mm/ZhuYM10 fatcat:h2v4txcgsfg3vnwxixaipchzuq
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