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Semantic tag recommendation using concept model

Chenliang Li, Anwitaman Datta, Aixin Sun
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
Tags are then recommended based on the tag concept model derived from the annotated documents of each tag.  ...  In this paper, we attempt to emulate human tagging behavior to recommend tags by considering the concepts contained in documents.  ...  CONCLUSION In this paper, we propose a semantic tag recommendation mechanism based on concept model.  ... 
doi:10.1145/2009916.2010098 dblp:conf/sigir/LiDS11 fatcat:wdmnvykkujdxhcnxq5wqvbplwm

Semantic Concept Based Retrieval of Software Bug Report with Feedback

Tao Zhang
2013 International Journal of Innovation Management and Technology  
In this paper we present a technique for semantic concept based retrieval of software bug report.  ...  The technique improves the efficiency of software bug report retrieval by applying semantic concepts.  ...  Semantic Concept Model We apply semantic concept model to eliminate tag ambiguity. Thus, the accuracy of tag recommendation can be reinforced.  ... 
doi:10.7763/ijimt.2013.v4.421 fatcat:6gtea5ma3bcmvdzwil56scw2nq

Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

2019 International Journal of Engineering  
At the end, #tags are recommended to users based on #tags in contextually similar messages. The system is evaluated on Tweets2011 dataset.  ...  A B S T R A C T In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points.  ...  [23] used TF-IDF model for #tag recommendation. They used the TF-IDF vector model to find the most similar messages to user's tweet.  ... 
doi:10.5829/ije.2019.32.08b.06 fatcat:o2x7evr3kzftlfrd44ayk2o224

Using social data as context for making recommendations

Salma Noor, Kirk Martinez
2009 Proceedings of the 1st Workshop on Context, Information and Ontologies - CIAO '09  
To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web.  ...  Thus an interest model for the user can be created which can serve as a good source of contextual knowledge.  ...  SCOT [9] Social semantic clouds of tag ontology presents a model for main properties and concepts required to represent a tagging activity on the semantic web.  ... 
doi:10.1145/1552262.1552269 fatcat:oe4hdaaqprc4nlbocbwyeadjdy

User Modeling Based on Emergent Domain Semantics [chapter]

Marián Šimko, Mária Bieliková
2010 Lecture Notes in Computer Science  
User's interests are modeled by overlaying the domain model -via keywords extracted from resource's (text) content, and tags assigned by the user or other (similar) users.  ...  In this paper we present an approach to user modeling based on the domain model that we generate automatically by resource (text) content processing and analysis of associated tags from a social annotation  ...  The created user model is used for user similarity computation and resource prediction computation for recommendation.  ... 
doi:10.1007/978-3-642-13470-8_42 fatcat:ktjjm3vqdvdfhmaxtv26heswru

Personalized recommendation of related content based on automatic metadata extraction

Andreas Nauerz, Fedor Bakalov, Birgitta König-Ries, Martin Welsch
2008 Proceedings of the 2008 conference of the center for advanced studies on collaborative research meeting of minds - CASCON '08  
These entities are wrapped into semantic tags that con-0 tain machine-readable information about the entity type.  ...  Our main concepts have been prototypically embedded within IBM's WebSphere Portal. 1  ...  His research focus lies on the application of adaptation and recommendation technologies to Web Portals by leveraging modern Web 2.0 and Social Computing techniques.  ... 
doi:10.1145/1463788.1463795 dblp:conf/cascon/NauerzBKW08 fatcat:7icx44z2gzcs5kioobe3qtwp6a

A Survey on Decision Support Systems in Social Media

M. Thangaraj, R. Indra
2015 International Journal of Computer Applications Technology and Research  
Recommendations in social web are used to personalize the web [20] . Social Tagging System is one type of social media.  ...  In this paper we present the survey of various recommendations in Social Tagging Systems (STSs) like tag, item, user and unified recommendations along with semantic web and also discussed about major thrust  ...  A combination of statistical and semantic features are used to build document and user models.  ... 
doi:10.7753/ijcatr0409.1008 fatcat:zguexhxslvexxfpzdnnr2r4uma

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.  ...  the search engine, but the most studies only put attention to improve efficiency, so as to mass resources retrieval results still allows the user to face "cognitive overload" problem when the user to use  ...  In document sorting, this paper use the concept vector space model, through the vector cosine angle to calculate the semantic similarity between document and query words, as show in formula (1) : , •  ... 
doi:10.4028/ fatcat:wycus4tttbdzpbhvhxreiyzecy

Tag propagation based recommendation across diverse social media

Deqing Yang, Yanghua Xiao, Yangqiu Song, Junjun Zhang, Kezun Zhang, Wei Wang
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
(explicit semantic analysis) for semantic matching of cross-domain tags.  ...  Addressing these problems, we first propose an optimized local tag propagation algorithm to generate tags for profiling Weibo users and then use a Chinese knowledge graph accompanied by an improved ESA  ...  In this paper, we use an improved ESA model to evaluate semantic relatedness between two tag sets from different social media.  ... 
doi:10.1145/2567948.2577285 dblp:conf/www/YangXSZZ014 fatcat:ckizwj6rwfgv7albec6yezzsse

Personalised Information Gathering and Recommender Systems: Techniques and Trends

Xiaohui Tao, Xujuan Zhou, Cher Han Lau, Yuefeng Li
2013 EAI Endorsed Transactions on Scalable Information Systems  
The report covers concept-based techniques exploited in personalised information gathering and recommender systems. challenging issue is referred by many researchers as Web information gathering [27, 51  ...  Web information gathering aims to acquire useful and meaningful information for users from the Web.  ...  Some models uses data mining techniques for concept extraction, semantic concepts are represented by patterns.  ... 
doi:10.4108/trans.sis.2013.01-03.e4 fatcat:o6omvzmmwvctljy24uxi6oacz4

Accurate online video tagging via probabilistic hybrid modeling

Jialie Shen, Meng Wang, Tat-Seng Chua
2014 Multimedia Systems  
The system applies both multimodal and temporal properties combined with a novel classification framework with hierarchical structure based on multilayer concept model and regression analysis.  ...  Accurate video tagging has been becoming increasingly crucial for online video management and search.  ...  ACML Atomic concept modeling layer SMCL Semantic concept modeling layer TRML Tag relevance modeling layer CDW Concept dependence weights between ACML and SCML TDW Tag dependence weights between  ... 
doi:10.1007/s00530-014-0399-4 fatcat:2p3m63xd6rginiztfstd55s2xm

Exploiting content relevance and social relevance for personalized ad recommendation on internet TV

Bo Wang, Jinqiao Wang, Hanqing Lu
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
concept space.  ...  Second, with user-user, video-video and user-video relationships, we employ Multi-Relationship based Probabilistic Matrix Factorization (MRPMF) to learn representative tags for modeling user preference  ...  Concept distribution model is used to indicate video tags, user interest and product tag.  ... 
doi:10.1145/2501643.2501648 fatcat:gygcs4tmeneynbnrpz7lr35wlu

Dynamic communities formation through semantic tags

Saman Kamran
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Tags in social semantic tagging systems have formal definitions because they are mapped to the concepts that are defined in ontologies.  ...  also to provide some meta data on top of the social relations based on contribution of taggers around semantic tags.  ...  the system is using to measure semantic similarities between concepts (i.e., semantic tags) in the knowledge-base and keywords that can be extracted from the object that is going to be tagged or tags  ... 
doi:10.1145/2567948.2567960 dblp:conf/www/Kamran14 fatcat:eriio6xi2vfizmqigmgkh7xxpy

An approach to enrich users' personomy using the recommendation of semantic tags

Sérgio R. P. da Silva, Marcelo R. Borth, Josiane M. P. Ferreira, Valéria D. Feltrim
2012 Journal of the Brazilian Computer Society  
This paper presents a new approach to improve the quality of the categorizations performed by users in tagging-based systems by means of the recommendation of semantic tags.  ...  The use of the Web resource helps to solve the cold start problem, and the recommendation of more contextualized and personalized tags helps to develop a bet-A previous version of this paper appeared at  ...  the most relevant concepts that are common to them to use as semantic tags to be recommended.  ... 
doi:10.1007/s13173-011-0055-1 fatcat:wflooxbs3rfdbdkir4nbqegzcq

Multimodal-based Multimedia Analysis, Retrieval, and Services in Support of Social Media Applications

Rajiv Ratn Shah
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
For instance, recommending preference-aware multimedia content, the understanding of semantics and sentics from UGCs, and automatically computing tag relevance for UGIs are benefited from knowledge structures  ...  The rapid growth in the amount of user-generated content (UGCs) online necessitates for social media companies to automatically extract knowledge structures (concepts) from user-generated images (UGIs)  ...  Finally, to construct feature vectors from the textual metadata, we extract semantics concepts from the title, description, and tags of UGIs using the semantic parser provided by Poria et al. [20] .  ... 
doi:10.1145/2964284.2971471 dblp:conf/mm/Shah16 fatcat:fqdt3wksh5cp5fvai2bchsf77a
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