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Further Experiments on Collaborative Ranking in Community-Based Web Search

Jill Freyne, Barry Smyth, Maurice Coyle, Evelyn Balfe, Peter Briggs
2004 Artificial Intelligence Review  
In this paper we describe a novel approach to using context in Web search that seeks to personalize the results of a generic search engine for the needs of a specialist community of users.  ...  Given the vagueness of Web search queries, recent research has focused on ways to introduce context into the search process as a means of clarifying vague, underspecified or ambiguous query terms.  ...  Thus . ispy-ai-review-CRC.tex; 29/01/2004; 13:49; p.8 Further Experiments on Collaborative Ranking in Community-Based Web Search 9 Table I . I Sample questions used in the live-user trial.  ... 
doi:10.1023/b:aire.0000036257.77059.40 fatcat:q4a4ey7nkfdrjjfl3ud22o5krq

Improving Re-ranking of Search Results Using Collaborative Filtering [chapter]

U Rohini, Vamshi Ambati
2006 Lecture Notes in Computer Science  
In this paper we present an effective re-ranking strategy that compensates for the sparsity in a user's profile, by applying collaborative filtering algorithms.  ...  Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of search.  ...  Vasudeva Varma, for dicussions on collaborative filtering and re ranking of search results.  ... 
doi:10.1007/11880592_16 fatcat:y2fnmk57dzcf7d5cfhjamffmhe

A Community-Based Approach to Personalizing Web Search

Barry Smyth
2007 Computer  
Acknowledgments This material is based in part on works supported by ChangingWorlds Ltd. and on works supported by Enterprise Ireland's Informatics Initiative, and Science Foundation Ireland under grant  ...  no. 03/IN.3/I361.  ...  Sharing is an important theme in collaborative Web search: Community members share past search experiences through result promotions.  ... 
doi:10.1109/mc.2007.259 fatcat:p7pbwipfufak3iddbj2ntgikii

The Collaborative Search by Tag-Based User Profile in Social Media

Haoran Xie, Xiaodong Li, Jiantao Wang, Qing Li, Yi Cai
2014 The Scientific World Journal  
Similar research has been conducted on the user log analysis in web search.  ...  To attack this critical problem, we propose the collaborative search approach in this paper.  ...  Acknowledgments The research described in this paper has been supported by a Strategic Research Grant of the City University of Hong Kong  ... 
doi:10.1155/2014/608326 pmid:25692176 pmcid:PMC4322306 fatcat:n6sqolfx4bh3lh744k5h6pzkp4

The Altruistic Searcher

Barry Smyth, Maurice Coyle, Peter Briggs
2009 2009 International Conference on Computational Science and Engineering  
In this paper we describe and evaluate an approach to collaborative Web search that seeks to enhance mainstream search engines by harnessing the past search experiences of communities of likeminded searchers  ...  Recently researchers have argued that the prevailing view of Web search, as a solitary activity, is flawed: that, in reality, Web search can be an inherently collaborative task.  ...  ACKNOWLEDGMENT This material is based in part on works supported by ChangingWorlds Ltd., and on works supported by Enterprise Ireland and Science Foundation Ireland.  ... 
doi:10.1109/cse.2009.202 dblp:conf/cse/SmythCB09 fatcat:o6azl7kdszdk3dzgx2gk2pzi6e

Contextual Support for Collaborative Information Retrieval

Shuguang Han, Daqing He, Zhen Yue, Jiepu Jiang
2016 Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval - CHIIR '16  
Recent research shows that Collaborative Information Retrieval (CIR), in which two or more users collaborate on the same search task, has become increasingly popular.  ...  The presence of both search and collaboration behaviors makes CIR a complex search format, which further drives a critical need to understand CIR's search context.  ...  They have strong computer experience and conduct web search on a daily basis.  ... 
doi:10.1145/2854946.2854963 dblp:conf/chiir/HanHYJ16 fatcat:c4dckn7oknfx5f7ekaf3ihwvy4

OKBook: Peer-to-Peer Community Formation [chapter]

Xi Bai, Wamberto Vasconcelos, Dave Robertson
2010 Lecture Notes in Computer Science  
Two mechanisms for discovering IMs and collaborative peers are presented based on a meta-search engine and a dynamic peer grouping algorithm respectively.  ...  For the meta-search engine, a strategy for integrating and re-ranking search results obtained from Semantic Web search engines is also described.  ...  Based on this strategy, two mechanisms for discovering desired IMs and collaborative peers are proposed in this section: meta-search-based discovery and peer-group-based.  ... 
doi:10.1007/978-3-642-13489-0_8 fatcat:wnmtqeqkjvff5l4vx5f4xl37mi

Harnessing user contributions and dynamic profiling to better satisfy individual information search needs

Roman Y. Shtykh, Qun Jin
2008 International Journal of Web and Grid Services  
In the situation of information overload we are experiencing today, conventional web search systems taking a one-size-fits-all approach are often not capable of effectively satisfy individual information  ...  To improve the quality of web information retrieval, we propose a collaborative personalised search approach that makes an attempt to 'understand' and better satisfy the information needs for each and  ...  Sugiyama et al. (2004) experiments with a collaborative approach, constructing user profiles based on collaborative filtering to adapt the search results according to each user's information need.  ... 
doi:10.1504/ijwgs.2008.018492 fatcat:yuuu46gl7jfr5jet6wdj6tosua

Collaborative Information Seeking with Ant Colony Ranking in Real-Time [chapter]

Tommaso Turchi, Alessio Malizia, Paola Castellucci, Kai Olsen
2016 Communications in Computer and Information Science  
In this paper we propose a new ranking algorithm based on Swarm Intelligence (SI), more specifically on Ant Colony Optimization (ACO), to improve search engines' performances and reduce the information  ...  The development of a fully working prototype, based on the Wikipedia search engine, demonstrated promising preliminary results.  ...  These case show the paradigm shift in Web searching that we are experiencing today. We hope that our approach can be a first step in modeling and describing these trends.  ... 
doi:10.1007/978-3-319-41938-1_12 fatcat:cgy5c3hmn5hfxkgb4tw2ssy7ne

A Novel Approach of Web Search Based on Community Wisdom

Weiliang Zhao, Vijay Varadharajan
2008 2008 Third International Conference on Internet and Web Applications and Services  
In this paper, we propose a novel approach for Web search based on the statistical information of local setting data of web browsers in a community.  ...  Then we develop a new scheme that combines PageRank's link-based ranking scores with our proposed community based popularity scores for web sites.  ...  There are also some further research on collaborating search communities which is beyond our present concerns in this paper. For further details, refer to [3] .  ... 
doi:10.1109/iciw.2008.66 dblp:conf/iciw/ZhaoV08 fatcat:wte5bcxtondalauu3j3asgo7uq

Web 2.0: Conceptual Framework and Research Directions

Jai Ganesh, Srinivas Padmanabhuni
2007 Americas Conference on Information Systems  
Here we propose a framework for understanding Web 2.0 based businesses and identify areas for future research.  ...  The article examines the emerging shift in businesses towards Web 2.0 principles, concepts and technologies.  ...  Based on the paramaters in the conceptual framework, a Website Survey of Web 2.0 firms was conducted. The websites were evaluated and ranked according to the questionnaire given in Appendix 1.  ... 
dblp:conf/amcis/GaneshP07 fatcat:b6g7rewpgrayppdfgjxstzhvda

Collaboration, Reputation and Recommender Systems in Social Web Search [chapter]

Barry Smyth, Maurice Coyle, Peter Briggs, Kevin McNally, Michael P. O'Mahony
2015 Recommender Systems Handbook  
In this chapter we will explore recent research which aims to do just that: to make web search a more personal and collaborative experience and to leverage important information such as the reputation  ...  Mainstream search engines continue to provide a largely one-size-fits-all service to their user-base, ultimately limiting the relevance of their result-lists.  ...  Acknowledgements This work is supported by Science Foundation Ireland: through the CLARITY Centre for Sensor Web Technologies under grant number 07/CE/I1147; and through the Insight Centre for Data Analytics  ... 
doi:10.1007/978-1-4899-7637-6_17 fatcat:uiscut42ybhxjaz4pcg35rda7q

Trust-Based Techniques for Collective Intelligence in Social Search Systems [chapter]

Pierpaolo Dondio, Luca Longo
2011 Studies in Computational Intelligence  
A key-issue for the effectiveness of collaborative decision support systems is the problem of the trustworthiness of the entities involved in the process.  ...  The chapter provides an overview of the current landscape of computational models of trust and reputation, and it presents an experimental study case in the domain of social search, where we show how trust  ...  No quantitative study has been proposed to study the impact of search experience on web ranking.  ... 
doi:10.1007/978-3-642-20344-2_5 fatcat:ioejk6bg7zcalesuqxtxa6bgby

Social Search [chapter]

Peter Brusilovsky, Barry Smyth, Bracha Shapira
2018 Lecture Notes in Computer Science  
Modern web search engines have evolved from their roots in information retrieval to developing new ways to cope with the unique nature of web search.  ...  The chapter begins by framing the social search landscape in terms of the sources of data available and the ways in which this can be leveraged before, during, and after search.  ...  In parallel, these ideas were adapted for community-based web search in the work of [32, 35] with search results ranked based on the reputation of the users who previously selected them for similar queries  ... 
doi:10.1007/978-3-319-90092-6_7 fatcat:ro6hjgwhgvgwrncakrpfv5brye

Further Experiments in Case-Based Collaborative Web Search [chapter]

Jill Freyne, Barry Smyth
2006 Lecture Notes in Computer Science  
Collaborative Web Search (CWS) proposes a case-based approach to personalizing search results for the needs of a community of like-minded searchers.  ...  In this paper we describe how this case-based view can be broadened to accommodate suggestions from multiple case bases, reflecting the expertise and preferences of complementary search communities.  ...  Conclusion In this work we have shown how Web search experience can be captured as a case base of search cases, and how this experience can be distributed across multiple case bases.  ... 
doi:10.1007/11805816_20 fatcat:b24f6ugy5rayndawzmxtrgf32a
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