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 Peter Briggs

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Average citations per article13.84
Citation Count263
Publication count19
Publication years2003-2012
Available for download5
Average downloads per article428.80
Downloads (cumulative)2,144
Downloads (12 Months)82
Downloads (6 Weeks)4
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19 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
September 2012 RecSys '12: Proceedings of the sixth ACM conference on Recommender systems
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 0,   Downloads (12 Months): 19,   Downloads (Overall): 270

Full text available: PDFPDF
The purpose of this paper is to provide a deployment update for the HeyStaks social search system which uses recommendation techniques to add collaboration to mainstream search engines such as Google, Bing, and Yahoo. We describe our the results of initial deployments, including an assessment of the quality of HeyStaks' ...
Keywords: recommender systems, deployed applications, social search

2 published by ACM
October 2011 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 1, October 2011
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 13,   Downloads (12 Months): 50,   Downloads (Overall): 638

Full text available: PDFPDF
Although collaborative searching is not supported by mainstream search engines, recent research has highlighted the inherently collaborative nature of many Web search tasks. In this article, we describe HeyStaks, a collaborative Web search framework that is designed to complement mainstream search engines. At search time, HeyStaks learns from the search ...
Keywords: social search, HeyStaks, Trust, reputation

3
September 2011 ICCBR'11: Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

For the main part, when it comes to questions of retrieval, the focus of CBR research has been on the retrieval of cases from a repository of experience knowledge or case base. In this paper we consider a complementary retrieval issue, namely the retrieval of case bases themselves in scenarios ...
Keywords: context recommendation, social search

4
July 2011 UMAP'11: Proceedings of the 19th international conference on User modeling, adaption, and personalization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper we focus on an approach to social search, HeyStaks that is designed to integrate with mainstream search engines such as Google, Yahoo and Bing. HeyStaks is motivated by the idea that Web search is an inherently social or collaborative activity. Heystaks users search as normal but benefit ...
Keywords: context recommendation, social search

5 published by ACM
February 2011 IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 1,   Downloads (12 Months): 14,   Downloads (Overall): 342

Full text available: PDFPDF
In this paper we describe the results of a live-user study to demonstrate the benefits of using the social search utility HeyStaks, a novel approach to Web search that combines ideas from personalization and social networking to provide a more collaborative search experience.
Keywords: user evaluation, HeyStaks, collaborative web search

6
May 2010 Knowledge-Based Systems: Volume 23 Issue 4, May, 2010
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 4

The so-called Social Web has helped to change the very nature of the Internet by emphasising the role of our online experiences as new forms of content and service knowledge. In this paper we describe an approach to improving mainstream Web search by harnessing the search experiences of groups of ...
Keywords: Web search, Recommender system, Experience

7 published by ACM
February 2010 IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 1,   Downloads (12 Months): 7,   Downloads (Overall): 524

Full text available: PDFPDF
While web search tasks are often inherently collaborative in nature, many search engines do not explicitly support collaboration during search. In this paper, we describe HeyStaks (www.heystaks.com), a system that provides a novel approach to collaborative web search. Designed to work with mainstream search engines such as Google, HeyStaks supports ...
Keywords: collaborative web search, heystaks, reputation model

8
September 2009 UMAP '09: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 19

Web search is the dominant form of information access and everyday millions of searches are handled by mainstream search engines, but users still struggle to find what they are looking for, and there is much room for improvement. In this paper we describe a novel and practical approach to Web ...

9
August 2009 CSE '09: Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

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. In this paper we describe and evaluate an approach to collaborative Web search that seeks to enhance mainstream search engines by harnessing ...
Keywords: web search, recommender systems, collaborative information retrieval, social search

10
July 2009 Proceedings of the 8th International Conference on Case-Based Reasoning Research and Development - Volume 5650
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Web search is the main way for millions of users to access information every day, but we continue to struggle when it comes to finding the right information at the right time. In this paper we build on recent work to describe and evaluate a new application of case-based Web ...

11
July 2009 ICCBR '09: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 9

Web search is the main way for millions of users to access information every day, but we continue to struggle when it comes to finding the right information at the right time. In this paper we build on recent work to describe and evaluate a new application of case-based Web ...

12
September 2008 ECCBR '08: Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 7

Despite the success of modern Web search engines, challenges remain when it comes to providing people with access to the right information at the right time. In this paper, we describe how a novel combination of case-based reasoning, Web search, and peer-to-peer networking can be used to develop a platform ...

13
April 2007 ECIR'07: Proceedings of the 29th European conference on IR research
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

The social Web emphasises the increased role of millions of users in the creation of a new type of online content, often expressed in the form of opinions or judgements. This has led to some novel approaches to information access that take advantage of user opinions and activities as a ...

14 published by ACM
January 2007 IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 9,   Downloads (Overall): 356

Full text available: PDFPDF
We describe a social search technique that harnesses the search experiences of a community of searchers to generate result recommendations, in a collaborative fashion, to complement results returned from some underlying search engine. We describe a dynamic model of trust as a way to coordinate collaboration, and provide experimental results ...
Keywords: social networks, collaborative search, communities, trust

15
April 2006 Artificial Intelligence Review: Volume 25 Issue 1-2, April 2006
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 2

Recommender systems combine ideas from information retrieval, user modelling, and artificial intelligence to focus on the provision of more intelligent and proactive information services. As such, recommender systems play an important role when it comes to assisting the user during both routine and specialised information retrieval tasks. Like any good ...
Keywords: Collaborative Web search, User modelling, Trust

16
July 2005 IJCAI'05: Proceedings of the 19th international joint conference on Artificial intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Bibliometrics:
Citation Count: 40

Collaborative Web search exploits repetition and regularity within the query-space of a community of like-minded individuals in order to improve the quality of search results. In short, search results that have been judged to be relevant for past queries are promoted in response to similar queries that occur in the ...

17
January 2005 User Modeling and User-Adapted Interaction: Volume 14 Issue 5, January 2005
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 101

Search engines continue to struggle with the challenges presented by Web search: vague queries, impatient users and an enormous and rapidly expanding collection of unmoderated, heterogeneous documents all make for an extremely hostile search environment. In this paper we argue that conventional approaches to Web search -- those that adopt ...
Keywords: personalization, social search, Meta search, Web search

18
June 2004 Artificial Intelligence Review: Volume 21 Issue 3-4, June 2004
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 27

As the search engine arms-race continues, search engines are constantly looking for ways to improve the manner in which they respond to user queries. 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, ...
Keywords: context, personalization, relevance, web search

19
August 2003 IJCAI'03: Proceedings of the 18th international joint conference on Artificial intelligence
Publisher: Morgan Kaufmann Publishers Inc.
Bibliometrics:
Citation Count: 21

Web search engines struggle to satisfy the needs of Web users. Users are notoriously poor at representing their needs in the form of a query, and search engines are poor at responding to vague queries. However progress has been made by introducing context into the search process. In this paper ...



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