Relevant bibliographies by topics / Social Bookmarks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Social Bookmarks'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Social Bookmarks"

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Hiroyuki, Hisamatsu, and Hatanaka Takahiro. "COMBATING SOCIAL BOOKMARKING POLLUTION." International Journal on Web Service Computing (IJWSC) 3, no. 2 (2012): 01–10. https://doi.org/10.5281/zenodo.4117279.

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Social Bookmarking (SBM) is one of the most widely used Web services. An SBM website displays and shares each user’s bookmarks. The SBM service aggregates the number of users who bookmark a given Web page and provides useful information as a result of these aggregations. However, an increase in the popularity of the SBM service and in the number of the users of the SBM service results in an increase in the amount of SBM SPAM. In addition, the SBM service generates irrelevant information to many users because of the aggregation of a large number of bookmarks; we call this problem "SB
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Hiroyuki, Hisamatsu, and Hatanaka Takahiro. "COMBATING SOCIAL BOOKMARKING POLLUTION." International Journal on Web Service Computing (IJWSC) 3, no. 2 (2012): 01–10. https://doi.org/10.5281/zenodo.3498746.

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Social Bookmarking (SBM) is one of the most widely used Web services. An SBM website displays and shares each user’s bookmarks. The SBM service aggregates the number of users who bookmark a given Web page and provides useful information as a result of these aggregations. However, an increase in the popularity of the SBM service and in the number of the users of the SBM service results in an increase in the amount of SBM SPAM. In addition, the SBM service generates irrelevant information to many users because of the aggregation of a large number of bookmarks; we call this problem "SB
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Angelova, Ralitsa, Marek Lipczak, Evangelos Milios, and Pawel Pralat. "Investigating the Properties of a Social Bookmarking and Tagging Network." International Journal of Data Warehousing and Mining 6, no. 1 (2010): 1–19. http://dx.doi.org/10.4018/jdwm.2010090801.

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Social networks and collaborative tagging systems are rapidly gaining popularity as a primary means for storing and sharing data among friends, family, colleagues, or perfect strangers as long as they have common interests. del.icio.us3 is a social network where people store and share their personal bookmarks. Most importantly, users tag their bookmarks for ease of information dissemination and later look up. However, it is the friendship links that make del.icio.us a social network. They exist independently of the set of bookmarks that belong to the users and have no relation to the tags typi
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Pooladian, Aida, and Ángel Borrego. "Twenty years of readership of library and information science literature under Mendeley’s microscope." Performance Measurement and Metrics 18, no. 1 (2017): 67–77. http://dx.doi.org/10.1108/pmm-02-2016-0006.

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Purpose Altmetric indicators have been proposed as a complement to citation counts in research evaluation. Conceivably, they might also be used to supplement other methods for estimating journal readership. The purpose of this paper is to explore the use of Mendeley reference management software to characterize the features of the readership of library and information science (LIS) literature. Design/methodology/approach The authors used the Social Sciences Citation Index to retrieve 54,655 articles and reviews published between 1995 and 2014 and indexed in the category “Information Science &a
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Ibričić, Anida. "Istraživanje primjene korisničkih oznaka u predmetnom opisu građe: društveno označavanje." BOSNIACA 25, no. 25 (2020): 216. http://dx.doi.org/10.37083/bosn.2020.25.216.

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Polazeći od potrebe iznalaženja rješenja poboljšanog pristupa građi u predmetnom katalogu; kao i poboljšanja predmetnog opisa; sprovedeno je istraživanje ispitivanja primjene korisničkih oznaka društvenog označavanja u okviru predmetne obrade građe. Cilj rada je komparativnom analizom korpusa ključnih riječi i korisničkih oznaka članaka triju časopisa Vjesnika bibliotekara Hrvatske (2019); Glasnika Narodne biblioteke Srbije (2017; 2018) i Bosniace (2019) ispitati primjenu korisničkih oznaka društvenog označavanja u predmetnoj obradi građe. U radu se naglašavaju prednosti primjene korisničkih o
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Pavan, Cleusa, Geórgia Geogletti Cordeiro Dantas, Ida Regina C. Stumpf, and Sônia Elisa Caregnato. "Connotea: site para a comunicação científica e compartilhamento de informações na Internet." RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 5, no. 1 (2008): 77. http://dx.doi.org/10.20396/rdbci.v5i1.2005.

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A Internet é reconhecidamente um terreno fecundo para as comunidades científicas, por sua rapidez, diversidade e possibilidades de novas formas de interação. O desenvolvimento de sites de social bookmarks, como o Connotea, permite aos pesquisadores gerenciar informações na Internet, organizando e compartilhando referências com seus pares científicos. Analisa-se este site que possui um caráter social e se apresenta como um novo espaço informal para compartilhamento de informações, criação de grupos e construção de bibliotecas próprias através do emprego de palavras-chave. Também, abordam-se os
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Lee, Danielle, and Peter Brusilovsky. "Recommending Talks at Research Conferences Using Users' Social Networks." International Journal of Cooperative Information Systems 23, no. 02 (2014): 1441003. http://dx.doi.org/10.1142/s0218843014410032.

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This paper investigates recommendation algorithms to suggest talks of interest to attendees of research conferences. In this study, based on a social conference support system Conference Navigator 3 (CN3), we explored three kinds of knowledge sources to generate recommendations: users' preference about talks (CN3 bookmarks), users' social networks (research collaboration network and CN3 following network) and talk content information (titles and abstracts). Using these sources, we explored a diverse set of algorithms from non-personalized community vote-based recommendations and conventional c
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Robert Jäschke, Robert, Beate Krause, Andreas Hotho, and Gerd Stumme. "Logsonomy — A Search Engine Folksonomy." Proceedings of the International AAAI Conference on Web and Social Media 2, no. 1 (2021): 192–93. http://dx.doi.org/10.1609/icwsm.v2i1.18646.

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In social bookmarking systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Search engines filter the vast information of the web. Queries describe a user's information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance.
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Wetzker, Robert, Carsten Zimmermann, and Christian Bauckhage. "Detecting Trends in Social Bookmarking Systems." International Journal of Data Warehousing and Mining 6, no. 1 (2010): 38–57. http://dx.doi.org/10.4018/jdwm.2010090803.

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The authors present and evaluate an approach to trend detection in social bookmarking systems using a probabilistic generative model in combination with smoothing techniques. Social bookmarking systems are gaining major interest among researchers in the areas of data mining and Web intelligence, since they provide a large amount of user-generated annotations and reflect the interest of millions of people. Based on a vast corpus of approximately 150 million bookmarks found at del. icio.us, the authors analyze bookmarking and tagging patterns and discuss evidence that social bookmarking systems
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Sharma, Ms Shweta. "An Exploratory Study on the Use of Social Media for Social Marketing." International Research Journal of Management, IT & Social Sciences 1, no. 1 (2014): 8. http://dx.doi.org/10.21744/irjmis.v1i1.48.

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Social media refers to the online media that allows multi-directional conversations and real time interactions such as social networking sites (SNS), blogs, discussions forums, content sharing, social bookmarks, wikis etc. Over the last decade, social media marketing has become a key focus area for both marketing practitioners and researchers. This paper focuses on the impact of social media in the domain of social marketing. For this study, we consider previous academic research in the area of social media and social marketing published in eminent research journals and management. After creat
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Dissertations / Theses on the topic "Social Bookmarks"

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CARMO, Magda Silony Maciel do. "Demandas ambientais de Sabiaguaba na perspectiva dos marcadores sociais do lugar." www.teses.ufc.br, 2011. http://www.repositorio.ufc.br/handle/riufc/9506.

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CARMO, Magda Silony Maciel do. Demandas ambientais de Sabiaguaba na perspectiva dos marcadores sociais do lugar. 2011. 112f. – Dissertação (Mestrado) – Universidade Federal do Ceará, Programa de Pós-graduação em Educação Brasileira, Fortaleza (CE), 2011.<br>Submitted by Márcia Araújo (marcia_m_bezerra@yahoo.com.br) on 2014-10-17T16:06:29Z No. of bitstreams: 1 2011_dis_msmcarmo.pdf: 5851053 bytes, checksum: 04fb72363128bcbde7c81c5104c7618c (MD5)<br>Approved for entry into archive by Márcia Araújo(marcia_m_bezerra@yahoo.com.br) on 2014-10-20T15:49:23Z (GMT) No. of bitstreams: 1 2011_dis_msmcarmo
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Carmo, Magda Silony Maciel do. "Demandas ambientais de Sabiaguaba na perspectiva dos marcadores sociais do lugar." Universidade Federal do CearÃ, 2011. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8432.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>A presente pesquisa em EducaÃÃo ambiental DialÃgica identifica os Marcadores sociais do discurso do lugar e a percepÃÃo dos mesmos sobre as demandas ambientais da Sabiaguaba, reconhece a cultura dos indivÃduos, a experiÃncia dos mesmos, sua interdependÃncia com os ambientes naturais e a complexidade existente na relaÃÃo entre homem natureza e cultura, privilegia as relaÃÃes interculturais entre os autores epistÃmicos, que se estabeleceram ao longo da tessitura do trabalho tracejando seu carÃter Eco Relacional e eminentemente qualit
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Lin, Fan-Chieh, and 林方傑. "Trust-Enhanced Personalized Knowledge Sharing Via Search Inputs, Social Bookmarks and Tags." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/75375240143428969157.

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碩士<br>國立臺灣大學<br>資訊管理學研究所<br>97<br>Information overload has been notoriously posing tremendous obstacles to more efficient and effective (online) resource utilization. Under the dominance of information pull, in which users have to actively find what they need, services being able to push what we would be interested in or in demand of are often expected. In this paper, we propose an approach, with which social tags and keywords extracted from search inputs are coordinated in terms of VSM to profile users, online contents/documents, and the textual terms themselves. The system stores pairs of us
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Chen, Yi-wen, and 陳依雯. "The Research of Social Bookmarks, Knowledge sharing and Information Seeking：The Case of HEMiDEMi." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/93815301485958015950.

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Liao, Chung-Hsun, and 廖崇勛. "Incorporating Social Network and Interest Discovery in Social Bookmark Recommendation." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/94737787739705758154.

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碩士<br>國立高雄第一科技大學<br>資訊管理研究所<br>100<br>Many researches recommended similar items or similar users to the target users based on the similarity of interests between users. However, may lack of diversity on the recommended items for the target users. We proposed an improved recommendation mechanism that incorporates the similarity of interests, social network relation, popularity of users, the frequency of follower, and the target user’s recent preferences. Finding collaborative social users via this way can improve the diversity of recommendation, and reduce the calculation of candidate users or
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Teng, Jui-Ching, and 鄧睿清. "Investigating user tagging behaviors in social bookmark system." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/30554250747663475364.

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碩士<br>國立交通大學<br>資訊學院碩士在職專班資訊組<br>96<br>Folksonomy is a popular application of web2.0. Information consumers label resources with arbitrary words, so-called tags. Social tagging systems not only help people share resources but also share knowledge. Tag recommendations can help user in Knowledge Management by providing candidate tags, in Information Retrieval by discovering relations of tags, and in Search by providing personalized keywords reminding. After observing social tagging system, we focus on the tripartite network that formed by users, tags, and items in the system. A good recommend sy
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JHANG, SIAN-JIE, and 張現傑. "Social Bookmark Collaborative Recommendation Systems based on Word Embedding." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/pv23w9.

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碩士<br>國立高雄第一科技大學<br>資訊管理系碩士班<br>105<br>Nowadays, huge information on the Internet makes people hard to manage the knowledge contents. The social bookmarking website can easily collect, manage, and share the information content. Although social bookmarking website provides good management and searching tools, it is still lack of personalized recommender systems to suggest similar users and articles that the target users may interested in. Collaborative filtering finds the similar user with same preferences based on the target user's interests, and then suggests similar items to the target user.
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Hong, Ke-Jyun, and 洪可郡. "Enabling Bookmark Recommendation Based on Social Tagging and Trust Network." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/74465789581759281429.

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碩士<br>中原大學<br>資訊工程研究所<br>98<br>Due to the problem of information overloading, recommendation systems have become useful tools for helping users to find the information they need. Most of the previous systems suffer from the data sparsity issue and the difficulty in similarity computation. Some recent systems take into account the trust relationships among users to improve the accuracy of recommendation. In this paper, we study the concept of trust and develop a framework of trust network, constructed by various kinds of user behaviors on common objects. Moreover, we integrate the social taggin
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Books on the topic "Social Bookmarks"

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Neale, Hurston Zora. Bookmarks in the pages of life: A selection of short stories. Limited Editions Club, 2000.

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Ruszkiewicz, John J. Bookmarks: A guide to research and writing. Longman, 2000.

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Perera, Sumi. More lines exploring space II. [Sumi Perera], 2012.

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Ellroy, James. My Dark Places Bookmarks. Vintage Books USA, 1997.

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Winkler, Henry. Bookmarks are people too! 2014.

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Interaktionsparadigma Web 20 Blogs Tags Rss Social Bookmarks Podcasts Mashups Ajax. VDM Verlag, 2009.

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Walker, Janice R., and John J. Ruszkiewicz. Bookmarks: A Guide to Research and Writing. Longman Publishing Group, 1999.

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Walker, Janice R., John Ruszkiewicz, and Michael Pemberton. Bookmarks: A Guide to Research and Writing (2nd Edition). 2nd ed. Longman, 2002.

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Walker, Janice R., John Ruszkiewicz, and Michael Pemberton. Bookmarks: A Guide to Research and Writing (3rd Edition). 3rd ed. Longman, 2005.

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Burnett, Frances Hodgson. Little Princess: With Bookmark. Tandem Library, 1987.

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Book chapters on the topic "Social Bookmarks"

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Takahashi, Tsubasa, and Hiroyuki Kitagawa. "A Ranking Method for Web Search Using Social Bookmarks." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00887-0_51.

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Nasirifard, Peyman, Sheila Kinsella, Krystian Samp, and Stefan Decker. "Social People-Tagging vs. Social Bookmark-Tagging." In Knowledge Engineering and Management by the Masses. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16438-5_11.

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"Bookmarks." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_100070.

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Tella, Adeyinka, Victoria Okojie, and O. T. Olaniyi. "Social Bookmarking Tools and Digital Libraries." In Advances in Library and Information Science. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3093-0.ch020.

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Digital libraries use the semantic web and social networking technologies to improve browsing and searching for resources. With digital libraries' social and semantic services, every library user has the opportunity to bookmark interesting books, articles, or other materials in semantically annotated directories. Social bookmarking is indispensable to digital libraries. This chapter discusses some of the popular social bookmarks adopted in the digital libraries, the important requirements for including social bookmarking in a digital library system, the design principles of social bookmarks, f
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Kwanya, Tom. "Social Bookmarking in Digital Libraries." In Advances in Library and Information Science. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3093-0.ch001.

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This chapter elucidates the concept of social bookmarking, its benefits in digital libraries as well as the implications of its use on the intellectual property rights of the creators of the bookmarked works. The author concludes that digital libraries can use social bookmarking as a means of increasing access to and sharing of information resources; improve web searching; as well as to enhance collaboration in the creation and use of information. Since social bookmarks are, by and large, public descriptions of and pointers to the original resources, digital libraries do not infringe the intel
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Kwanya, Tom. "Social Bookmarking in Digital Libraries." In Research Anthology on Collaboration, Digital Services, and Resource Management for the Sustainability of Libraries. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8051-6.ch044.

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This chapter elucidates the concept of social bookmarking, its benefits in digital libraries as well as the implications of its use on the intellectual property rights of the creators of the bookmarked works. The author concludes that digital libraries can use social bookmarking as a means of increasing access to and sharing of information resources; improve web searching; as well as to enhance collaboration in the creation and use of information. Since social bookmarks are, by and large, public descriptions of and pointers to the original resources, digital libraries do not infringe the intel
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Kurahashi Setsuya and Shirakawa Takahisa. "An Information Recommendation System Focusing on Social Bookmarking." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-841.

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This paper proposes an information recommendation system focusing on personal classification space based on bookmarks. This study handles the problem where the standard collaborative filtering method cannot offer recommendations with a better level of precision. This paper improves the collaborative filtering algorithm for users of social bookmark services. In this research, the classification-based method is proposed as the recommendation method, and Recall- DCG and Precision-DCG are proposed as evaluation scales. A user&amp;rsquo;s bookmarks are placed on his/her own classifying space made o
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"Using Social Bookmarks and Social News." In Social Media Marketing All-in-One For Dummies®. Wiley Publishing, Inc., 2011. http://dx.doi.org/10.1002/9781118257661.ch7.

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Mir, Tawseef Ahmad, Aadil Ahmad Lawaye, and Akib Mohi Ud Din Khanday. "NLP Techniques and Challenges to Process Social Media Data." In Advances in Social Networking and Online Communities. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6909-5.ch009.

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Social media, a buzz term in the modern world, refers to various online platforms like social networks, forums, blogs and blog comments, microblogs, wikis, media sharing platforms, social bookmarks through which communication between individuals, communities, or groups takes place. People over social media do not only share their ideas and opinions, but it has become an important source through which businesses promote their products. Analyzing huge data generated over social media is useful in various tasks like analyzing customer trends, forecast sales, understanding opinions of people on di
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Abbasi, Rabeeh Ayaz. "Exploiting Social Media Features for Automated Tag Recommendation." In Advances in Human and Social Aspects of Technology. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0894-8.ch006.

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In today’s social media platforms, when users upload or share their media (photos, videos, bookmarks, etc.), they often annotate it with keywords (called tags). Annotating the media helps in retrieving and browsing resources, and also allows the users to search and browse annotated media. In many social media platforms like Flickr or YouTube, users have to manually annotate their resources, which is inconvenient and time consuming. Tag recommendation is the process of suggesting relevant tags for a given resource, and a tag recommender is a system that recommends the tags. A tag recommender sy
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Conference papers on the topic "Social Bookmarks"

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Logvynovskiy, Alex, and Mohammad Dastbaz. "Bibliography mapping with semantic social bookmarks." In 2010 5th IEEE International Conference Intelligent Systems (IS). IEEE, 2010. http://dx.doi.org/10.1109/is.2010.5548395.

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Park, Jaehui, Tomohiro Fukuhara, Ikki Ohmukai, Hideaki Takeda, and Sang-goo Lee. "Web content summarization using social bookmarks." In Proceeding of the 10th ACM workshop. ACM Press, 2008. http://dx.doi.org/10.1145/1458502.1458519.

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Harvey, Morgan, Ian Ruthven, and Mark Carman. "Ranking social bookmarks using topic models." In the 19th ACM international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871632.

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Subasic, Ilija. "Topic specific association rules mining from social bookmarks." In BCS IRSG Symposium: Future Directions in Information Access 2007. BCS Learning & Development, 2007. http://dx.doi.org/10.14236/ewic/fdia2007.21.

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Karweg, Bastian, Christian Huetter, and Klemens Böhm. "Evolving social search based on bookmarks and status messages from social networks." In the 20th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/2063576.2063839.

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Seki, Kazuhiro, Huawei Qin, and Kuniaki Uehara. "Impact and prospect of social bookmarks for bibliographic information retrieval." In the 10th annual joint conference. ACM Press, 2010. http://dx.doi.org/10.1145/1816123.1816179.

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Pierce, Marlon E., Geoffrey C. Fox, Joshua Rosen, Siddharth Maini, and Jong Y. Choi. "Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application." In 2008 International Symposium on Collaborative Technologies and Systems (CTS). IEEE, 2008. http://dx.doi.org/10.1109/cts.2008.4543939.

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Sakakura, Y., T. Amagasa, and H. Kitagawa. "Detecting Social Bookmark Spams Using Multiple User Accounts." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.199.

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Kumar, S. S., and H. H. Inbarani. "Web 2.0 social bookmark selection for tag clustering." In 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME). IEEE, 2013. http://dx.doi.org/10.1109/icprime.2013.6496724.

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Niimi, Ayahiko, and Osamu Konishi. "Social bookmark data mining using extended graph kernel." In the Eleventh International Workshop. ACM Press, 2011. http://dx.doi.org/10.1145/2237827.2237830.

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