Filters








179 Hits in 5.4 sec

SENTIGRADE: A SENTIMENT BASED USER PROFILING STRATEGY FOR PERSONALISATION

SIPRA SAHOO, BIKRAM KESARI RATHA
2018 Journal of Engineering Science and Technology  
In this approach, the incorporation of information with numerous data which depends upon sentiment is implemented using a framework SentiGrade by User Profiles (UP) and Resource Profiles (RP) for user  ...  From the folksonomy data, the discovery of User Preference (UsP) is presented by a rigorous probabilistic framework and relevance method are proposed for obtaining Sentiment-Based Personalized (SBP) ranking  ...  Proposed Methodology In this section, the SentiGrade framework is proposed for incorporation of sentiments into tag-based profiles for searching the personalization of users.  ... 
doaj:3ebf0bb8cbaa481cad717f5b99fa479c fatcat:z6wkrnawe5c3jlwqgrak7ssb7y

Affective neural networks and cognitive learning systems for big data analysis

Amir Hussain, Erik Cambria, Björn Schuller, Newton Howard
2014 Neural Networks  
Acknowledgments The guest editors are most grateful to the co-editors-in-chief, Kenji Doya and DeLiang Wang, for giving us the opportunity to guest edit this exciting issue.  ...  Finally, the guest editors are indebted to the following thirty-four reviewers for their timely and insightful reviews of the submissions which has assured the quality of this  ...  In ''Exploring Personalized Searches using Tag-based User Profiles and Resource Profiles in Folksonomy'', Yi Cai, Qing Li, Haoran Xie, and Huaqin Min examine the limitations of previous tag-based personalized  ... 
doi:10.1016/j.neunet.2014.07.010 pmid:25131153 fatcat:iwo37uspufhw7he7m6iycy36mq

Query Expansion with Personalized Web Search Using Enriched User Profiles and Folksonomy Data

Kokil Nikita, Shinde Harshada, Wayal Madhuri, Yewale Ankita
2019 Zenodo  
To infer the user search goals, many researchers have made an excellent effort through user searching history, user profiles or user searching knowledge and pattern but most of the techniques failed as  ...  Each new user may have his different user goals for large topics. Hence the efficiency of the search engine can improve by the analysis and inference of the user search goals.  ...  and Q. Li, " Incorporating Sentiment Into Tag-Based User Profiles And Resource Profiles For Personalized Search In Folksonomy" , Information Processing & Management, 2016.  ... 
doi:10.5281/zenodo.2669987 fatcat:id3uoyr5gjdjfb2z42mn5uyelu

Recommender Systems, Semantic-Based [chapter]

Fatih Gedikli, Dietmar Jannach
2014 Encyclopedia of Social Network Analysis and Mining  
Tagging data can also be incorporated in search engines to personalize the search results. According to [10] , two basic approaches to Web search personalization can be differentiated.  ...  In [17] , for example, the authors incorporate tags into standard collaborative filtering algorithms.  ... 
doi:10.1007/978-1-4614-6170-8_116 fatcat:qdiedjovxrauxjitbpjx7zi3qe

An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations [chapter]

Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza
2013 Lecture Notes in Business Information Processing  
Using these cross-domain folksonomies, we develop a number of methods that automatically transform tag-based item profiles into emotion-oriented item profiles.  ...  In this paper we present an emotion computational model based on social tags.  ...  For an item (object) , let be the item's tag-based profile, where corresponds to the tag of the item's folksonomy.  ... 
doi:10.1007/978-3-642-39878-0_9 fatcat:dr57cxkezfeevb3pcnjnr35zri

Spatio-semantic user profiles in location-based social networks

Soha Mohamed, Alia I. Abdelmoty
2017 International Journal of Data Science and Analytics  
Basic profiles capture direct user interactions, while enriched profiles offer an extended view of users' association with places and tags that take into account relationships in the folksonomy.  ...  In this paper, semantic information is summarised as tags for places and a folksonomy data model is used to represent spatial and semantic relationships between users, places, and tags.  ...  reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s41060-017-0059-9 dblp:journals/ijdsa/MohamedA17 fatcat:zuhztegzvfapzkhujqb5mvpbsm

Categorising Social Tags to Improve Folksonomy-Based Recommendations

Ivan Cantador, Ioannis Konstas, Joemon M. Jose
2011 Social Science Research Network  
Current folksonomy-based search and recommendation models exploit the social tag space as a whole to retrieve those items relevant to a tag-based query or user profile, and do not take into consideration  ...  In social tagging systems, users have different purposes when they annotate items.  ...  Folksonomy-based recommender systems Collaborative tagging systems allow a user to search for the content that he has tagged using a personal vocabulary.  ... 
doi:10.2139/ssrn.3199501 fatcat:obfkp4wqyvguvjtexnyuubo4ji

Categorising social tags to improve folksonomy-based recommendations

Iván Cantador, Ioannis Konstas, Joemon M. Jose
2011 Journal of Web Semantics  
Current folksonomy-based search and recommendation models exploit the social tag space as a whole to retrieve those items relevant to a tag-based query or user profile, and do not take into consideration  ...  In social tagging systems, users have different purposes when they annotate items.  ...  Folksonomy-based recommender systems Collaborative tagging systems allow a user to search for the content that he has tagged using a personal vocabulary.  ... 
doi:10.1016/j.websem.2010.10.001 fatcat:7femyaox3rfxzgh7xds72ibmby

Emotion and sentiment in social and expressive media: Introduction to the special issue

Paolo Rosso, Cristina Bosco, Rossana Damiano, Viviana Patti, Erik Cambria
2016 Information Processing & Management  
In "Incorporating Sentiment into Tag-based User Profiles and Resource Profiles for Personalized Search in Folksonomy" Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y.K.  ...  Experiments prove that sentiment-based information can significantly improve the performance of personalized search in folksonomy.  ... 
doi:10.1016/j.ipm.2015.11.002 fatcat:zk5tz5mqmje5tncrhvopdechtq

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
2014 Semantic Web Journal  
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  In conclusion, key outstanding challenges are discussed and new directions for research are proposed.  ...  The authors wish to thank Marta Sabou and Arno Scharl for the discussions on crowdsourcing and its role in semantic technologies research, as well as Diana Maynard for the discussions on opinion mining  ... 
doi:10.3233/sw-130110 fatcat:uytdbegs3ngcbpu62i4trrxjni

Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms

Mohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub
2016 Information Systems  
The main question one might ask is What would be the benefits of using social information (no matter whether it is content or structure) into the information retrieval process and how is this currently  ...  With the growing number of efforts towards the combination of IR and social networks, it is necessary to build a clearer picture of the domain and synthesize the efforts in a structured and meaningful  ...  For example, on one hand, tags in folksonomies have been found useful for Web search, personalized search and contextualized enterprise search. Indeed, Gupta et al.  ... 
doi:10.1016/j.is.2015.07.008 fatcat:letbaw4pwbbvvbyvumjirlwjdq

An Overview of Social Tagging and Applications [chapter]

Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han
2011 Social Network Data Analytics  
Metadata generated in the form of tags can be efficiently used to improve web search, for web object classification, for generating ontologies, for enhanced browsing etc.  ...  and how to choose the right tags for recommendation.  ...  Search Tags have been found useful for web search, personalized search and enterprise search.  ... 
doi:10.1007/978-1-4419-8462-3_16 fatcat:czs2um2xvrd6vnfpefzae2ftwq

Personalized Recommendations Based on Sentimental Interest Community Detection

Jianxing Zheng, Yanjie Wang
2018 Scientific Programming  
First, we learn the weighted semantics vector and sentiment vector to model semantic and sentimental user profiles.  ...  In this paper, a resonant sentimental interest community-based recommendation model is proposed to improve the accuracy performance of recommender systems.  ...  Acknowledgments This work was partially supported by Youth Science Fund Project of the National Natural Science Foundation of China (no. 61603229) and the project of the Natural Science Foundation of Shanxi  ... 
doi:10.1155/2018/8503452 fatcat:5a5mizfl6bg4hkcz5ic5n2l5pm

Survey on social tagging techniques

Manish Gupta, Rui Li, Zhijun Yin, Jiawei Han
2010 SIGKDD Explorations  
how to choose the right tags for recommendation, etc.  ...  Broadly, we would discuss about properties of tag streams, tagging models, tag semantics, generating recommendations using tags, visualizations of tags, applications of tags and problems associated with  ...  Search Tags have been found useful for web search, personalized search and enterprise search. Schenkel et al.  ... 
doi:10.1145/1882471.1882480 fatcat:bj55ymqcerfu5jd3cqd7n6d6am

Social Networking Analysis: A State of the Art and the Effect of Semantics

Charalampos Chelmis, Viktor K. Prasanna
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
This paper presents a comprehensive study of the state of the art in Social Networking Analysis and examines the impact of content analysis and the effects of semantics in social networking analysis research  ...  We propose a taxonomy of current approaches, classifying them into the following main categories: 1) graph-theoretic approaches, 2) applications of semantic web technologies and emergent semantics modeling  ...  ACKNOWLEDGMENT This work is supported by Chevron Corp. under the joint project, Center for Interactive Smart Oilfield Technologies (CiSoft), at the University of Southern California.  ... 
doi:10.1109/passat/socialcom.2011.23 dblp:conf/socialcom/ChelmisP11 fatcat:jbvf6jizcjh5jbtfj2un4hqtki
« Previous Showing results 1 — 15 out of 179 results