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Web Search Personalization Using Social Data [chapter]

Dong Zhou, Séamus Lawless, Vincent Wade
2012 Lecture Notes in Computer Science  
Web search that utilizes social tagging data suffers from an extreme example of the vocabulary mismatch problem encountered in traditional Information Retrieval (IR).  ...  This paper proposes an Iterative Personalized Query Expansion Algorithm for Web Search (iPAW), which is based on individual user profiles mined from the annotations and resources the user has marked.  ...  The evaluation method used by previous researchers in personalized social search [7, 17] is employed.  ... 
doi:10.1007/978-3-642-33290-6_32 fatcat:bb5f3i672bhg3lnw5m4myasuou

Multi-relational matrix factorization using bayesian personalized ranking for social network data

Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
One important task that has been approached in the literature that deals with such data is to use social graphs to predict user behavior (e.g. joining a group of interest).  ...  Furthermore, we derive a principled feature extraction scheme from the social data to extract predictors for a classifier on the target relation.  ...  INTRODUCTION Social media applications allow users to connect to each other and to interact with items of interest such as songs, videos, web pages, news, groups and the like.  ... 
doi:10.1145/2124295.2124317 dblp:conf/wsdm/Krohn-GrimbergheDFS12 fatcat:iiinyrotzbbdpd44hdluwgubae

Using Graph Neural Networks for Program Termination [article]

Yoav Alon, Cristina David
2022 arXiv   pre-print
Beyond formal approaches, various attempts have been made to estimate the termination behavior of programs using neural networks.  ...  Compared to previous approaches using neural networks for program termination, we also take advantage of the graph representation of programs by employing Graph Neural Networks.  ...  GNNs are gaining a lot of interest as they are being used to analyze graph-based systems denoting social networks [65] , physical systems [53] , knowledge graphs [34] , point-cloud classification [  ... 
arXiv:2207.14648v1 fatcat:nqnggy5rhjcqzngggguqwmqfsy

Exploring folksonomy for personalized search

Shengliang Xu, Shenghua Bao, Ben Fei, Zhong Su, Yong Yu
2008 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '08  
We propose a personalized search framework to utilize folksonomy for personalized search.  ...  A series of experiments are conducted using two heterogeneous data sets, one crawled from Del.icio.us and the other from Dogear.  ...  Feinberg from IBM Watson Research Center for providing us the Dogear social tagging data corpus [19] . Besides, we also appreciate the valuable suggestions of Feng Yun, Mianwei Zhou, and Jinwen Guo.  ... 
doi:10.1145/1390334.1390363 dblp:conf/sigir/XuBFSY08 fatcat:vaisogittbginksptv63iyp7w4

Utilizing Linked Data Structures for Social-aware Search Applications

André Langer, Michael Krug, Luis Moreno, Martin Gaedke
2017 Jahrestagung der Gesellschaft für Informatik  
Newer approaches also took personalized ranking attributes of a connected Social Web platform into account to form so called Social Commerce Applications.  ...  As a result, we implement a first demonstrator built upon RDF data to show how an application can present the user an adaptive search result list depending on the users' current social context.  ...  A SAS enabled Web application can access user data from Social Web platforms and use this information for improving search relevance and experience.  ... 
doi:10.18420/in2017_190 dblp:conf/gi/LangerKMG17 fatcat:wl6fuoda2jerfdx2frvzhbqsw4

A Survey on Personalized Multimedia Content Search

Vanashri N.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
In this paper, we done survey on different techniques used for personalized search in relevant information retrieval.  ...  We propose a personalized search system, called MovieMine, enhance this proposed system to provide more relevant data summarized according to past & present comments left by user.  ...  ACKNOWLEDGMENT We would like to thanks to our guide & respected teachers for their constant support and motivation for us.  ... 
doi:10.17762/ijritcc2321-8169.150243 fatcat:zgyuxqsj2zhwve6t7bcocfc7ny

An Investigation into the Correlation between Willingness for Web Search Personalization and SNS Usage Patterns

Arjumand Younus, Colm O'Riordan, Gabriella Pasi
2014 Italian Information Retrieval Workshop  
show that there is a strong relationship between willingness for personalized Web search and social network usage patterns.  ...  This paper presents a user survey-based analysis of the correlation between the users' willingness to personalize Web search and their social network usage patterns.  ...  The collected data were then used in a regression model to analyse the correlation between SNS variables and willingness to personalize Web search.  ... 
dblp:conf/iir/YounusOP14 fatcat:p7rwbg33rfawnfwu34qvknxc5e

Personalized Web Search Using Probabilistic Query Expansion

Pallavi Palleti, Harish Karnick, Pabitra Mitra
2007 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops  
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person.  ...  A challenge for personalization lies in collecting user profiles that are rich enough to do this successfully. One way an individual's profile can be augmented is by using data from other people.  ...  INTRODUCTION data we collected enabled us to understand whether Web search personalization algorithms improve the queries they selected, the information they had on their Web search experience by using  ... 
doi:10.1109/wiiatw.2007.4427545 dblp:conf/iat/PalletiKM07 fatcat:vulcfp2vhnf7xeuqnggaletuiy

EOS

Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu, Mingcai Hong
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
The relationship in the social network information is used in both ranking experts on a given topic and searching for associations between researchers.  ...  It has gathered information about a halfmillion computer science researchers from the Web and constructed a social network among the researchers through their co-authorship.  ...  As the data sources, in EOS, we used Web pages related to a person, XML files of DBLP, and the publication ranking list from Citeseer (http://www.citeseer.com).  ... 
doi:10.1145/1242572.1242803 dblp:conf/www/LiTZLLH07 fatcat:2xrzpmvuwvbgbal4dwp2m3q3w4

Web Search Personalization Via Social Bookmarking and Tagging [chapter]

Michael G. Noll, Christoph Meinel
2007 Lecture Notes in Computer Science  
uses social bookmarking and tagging to re-rank web search results.  ...  In this paper, we present a new approach to web search personalization based on user collaboration and sharing of information about web documents.  ...  [12] use social annotations to improve page ranking in generic web search.  ... 
doi:10.1007/978-3-540-76298-0_27 fatcat:ggeqb4qf2fdofjk7gslzcdceye

SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence

Ching-Yung Lin, Nan Cao, Shi Xia Liu, Spiros Papadimitriou, Jimeng Sun, Xifeng Yan
2009 Proceedings / International Conference on Data Engineering  
SmallBlue is a social networking application that unlocks the valuable business intelligence of 'who knows what?', 'who knows whom?'  ...  The suite also helps users manage their personal networks, and reach out to their extended network (the friends of their friends) to find and access expertise and information.  ...  Web Search In addition to leveraging social bookmarking information, we are also currently building a web search front end, using the web APIs provided by a popular search engine.  ... 
doi:10.1109/icde.2009.140 dblp:conf/icde/LinCLPSY09 fatcat:2qc6rllwqfbdlnj7hcyunbnmgy

Social Sifter: An Agent-Based Recommender System to Mine the Social Web

M. Omar Nachawati, Rasheed Rabbi, Genong (Eugene) Yu, Larry Kerschberg, Alexander Brodsky
2012 Semantic Technologies for Intelligence, Defense, and Security  
Interoperability across the Social Web sites make the simplest of inferences based on data from different sites challenging.  ...  experiences available on the Social Web.  ...  The Knowledge Management Layer handles the support for semantic search, access to data sources, and the ranking of search results using technologies like the Ontology, Social Web Crawling, Ranking, Query  ... 
dblp:conf/stids/NachawatiRYKB12 fatcat:uilqdxh7izhrpkd6vl5gs264ny

The self-Googling phenomenon: Investigating the performance of personalized information resources

Thomas Nicolai, Lars Kirchhof, Axel Bruns, Jason Wilson, Barry Saunders
2009 First Monday  
To address these questions we explore the theory of narcissism in order to help define self-googling and present the results from a 14-month online experiment using Google search engine usage data.  ...  to self-googling and generic search queries; to what extent do self-googling search requests match the selected personalised Web pages?  ...  INTRODUCTION Searching for information about oneself has become fairly popular with the rise of modern search engines and social uses of the Web in recent years.  ... 
doi:10.5210/fm.v14i12.2683 fatcat:2q6ufj2a3jfdtkk7gbewrggxu4

Issues and Challenges of User Intent Discovery (UID) during Web Search

Wael K. Hanna, Aziza S. Aseem, M. B. Senousy
2015 International Journal of Information Technology and Computer Science  
This paper also discusses the social network analysis and the web queries analysis.  ...  search the web quickly and thoroughly.  ...  [33] Used two networks, one consisting of information in web pages and the other of personal data shared on social media web sites to analyze how social media tunnels the flow of information from person  ... 
doi:10.5815/ijitcs.2015.07.08 fatcat:zhbrnkbkzngtbn5lz442n4j46e

Review of Extracting Information From the Social Web for Health Personalization

Luis Fernandez-Luque, Randi Karlsen, Jason Bonander
2011 Journal of Medical Internet Research  
Acknowledgments We would like to thank the reviewers and our colleagues for their very useful comments, which helped to improve this paper.  ...  Web Usage Data The extraction of Web usage data for Web personalization predates the Social Web, yet it is still widely applied.  ...  In WebMD, Web usage data is used for personalizing the advertisements based on the type of user's Web browser.  ... 
doi:10.2196/jmir.1432 pmid:21278049 pmcid:PMC3221336 fatcat:q4nfavpntjcdxh2kjdjf5itjni
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