Publication statistics

Pub. period:1997-2011
Pub. count:36
Number of co-authors:32



Co-authors

Number of publications with 3 favourite co-authors:

Amanda Spink:12
Sherry Koshman:3
Geoff Cook:3

 

 

Productive colleagues

Bernard J. Jansen's 3 most productive colleagues in number of publications:

Amanda Spink:39
Michael D. McNeese:21
Ying Zhang:20
 
 
 
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Bernard J. Jansen

Personal Homepage:
ist.psu.edu/faculty_pages/jjansen/

Current place of employment:
The Pennsylvania State University

Dr. Jim Jansen is an Assistant Professor at the College of Information Sciences and Technology at the Pennsylvania State University. Dr. Jansen has over 100 publications in the area of information technology and systems, with articles appearing in the Communications of the ACM, IEEE Computer, ACM Transactions on Information Systems, Information Processing and Management, and Journal of the American Society for Information Science and Technology, among others. Dr. Jansen's recently coauthored paper in IEEE Computer analyzing a 4-year trend in how users search the Web generated press coverage in over 100 news organizations worldwide, including wire services, cable and network television, radio, newspapers, and commercial web sites. His 2000 article published in Information Processing and Management has received over 100 citations in outlets such as Proceedings of the ACM SIGIR International Conference on Research and Development in Information Retrieval, Information Processing and Management, and Journal of the American Society for Information Science and Technology, among others conferences and journals in a variety of fields. He has received several awards and honors, including an ACM Research Award, 6 application development awards, along with other writing, publishing, research, and leadership honors.

Dr. Jansen teaches or has taught basic and applied courses in micro-computing, office applications, information technology, databases, multimedia, the Internet and World Wide Web. Additionally, he has supervised and mentored students in a variety of capstone project courses, research programs and individual directed studies.

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Publications by Bernard J. Jansen (bibliography)

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2011
 
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Jansen, Bernard J., Sobel, Kate and Cook, Geoff (2011): Being networked and being engaged: the impact of social networking on ecommerce information behavior. In: Proceedings of the 2011 iConference 2011. pp. 130-136.

Teenagers and young adults born between 1981 and 2000 are a critical demographic group economically and are one of the first demographics presented with an array of Internet social networking services just as their online habits are forming. Based on a survey of 34,514 teen and young adult respondents, the research reported in this paper is a descriptive and inferential analysis of reported ecommerce information behaviors on four social networking sites (Facebook, MySpace, myYearbook, and Twitter). We use k-means clustering analysis to find groups of these users based on their levels of being networked on and being engaged with social networking services. Results show that the majority of this demographic have accounts on multiple social networking sites and specific sites result in different information behaviors. More than 40% engage in three social networking sites and an additional 20% have four social networking accounts. We also found that there are distinct information behavioral differences among eight distinct clusters of users, indicating that companies may need to employ advanced analytical techniques to segment the youth market. We also investigate the motivations for using different social media sites. Findings show that this young demographic has complex ecommerce information behaviors that call for nuanced approaches in advertising, marketing, or other areas of information targeting.

© All rights reserved Jansen et al. and/or ACM Press

2010
 
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Jansen, Bernard J. and Solomon, Lauren (2010): Gender demographic targeting in sponsored search. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 831-840.

In this research, we evaluate the effect of gender in analyzing the performance of sponsored search advertising. We examine a log file with data comprised of nearly 7,000,000 records spanning 33 consecutive months of a search engine marketing campaign from a major US retailer. We classify key phrases selected for the campaign with a probability of being targeted for a specific gender and then compare the consumer actions using the critical sponsored search metrics of impressions, clicks, cost-per-click, sales revenue, orders, and items sold. Findings from our analysis show that the gender-orientation of the key phrase is a significant determinant in predicting behaviors and performance, with statistically different consumer behaviors for all attributes as the probability of a male or female keyword phrase changes. However, gender neutral phrases perform the best overall, calling into question the benefits of demographic targeting. Insight from this research could result in sponsored results being more effectively targeted to searchers and potential consumers.

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Jansen, Bernard J., Sobel, Kate and Cook, Geoff (2010): Gen X and Ys attitudes on using social media platforms for opinion sharing. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 3853-3858.

In this paper, we investigate opinion sharing attitudes and behaviors of 13-24 year olds on social media platforms. This research utilizes data from 34,514 survey respondents from users of the social media site, myYearbook. Results show that those more engaged with multiple social media platforms are more willing to share opinions, seek opinions, and act on these opinions. However, there were statistically significant differences among users of myYearbook, MySpace, Facebook, and Twitter. Findings show that the reported demographic differences and social network service chosen have an effect on behaviors. These results have implications for businesses and others interested in advertising on these platforms, and researchers interested in investigating these populations.

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Jansen, Bernard J., Campbell, Gerry and Gregg, Matthew (2010): Real time search user behavior. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 3961-3966.

Real time search is an increasingly important area of information seeking on the Web. In this research, we analyze 1,005,296 user interactions with a real time search engine over a 190 day period. We investigate aggregate usage of the search engine, such as number of users, queries, and terms. We also investigate the structure of queries and terms submitted by these users. The results are compared to Web searching on traditional search engines. Results show that 60% of the traffic comes from the engine's application program interface, indicating that real time search is heavily leveraged by other applications. Of the queries, 30% were unique (used only once in the entire dataset). The most frequent query accounted for 0.003% of the query set. Less than 8% of the terms were unique. The most frequently used terms accounted for only 0.03% of the total terms. Concerning search topics, the most used terms dealt with technology, entertainment, and politics, reflecting both the temporal nature of the queries and, perhaps, an early adopter user-based. Sexual queries were quite low, relative to traditional Web search. Searchers of real time content often repeat queries overtime, perhaps indicating long term interest in a topic. We discuss the implications for search engines and information providers as real time content increasingly enters the main stream.

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Jansen, Bernard J. and Booth, Danielle (2010): Classifying web queries by topic and user intent. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 4285-4290.

In this research, we investigate a methodology to classify automatically Web queries by topic and user intent. Taking a 20,000 plus Web query data set sectioned by topic, we manually classified each query using a three-level hierarchy of user intent. We note that significant differences in user intent across topics. Results show that user intent (informational, navigational, and transactional) varies by topic (15 to 24 percent depending on the category). We then use this manually classified data set to classify searches in a Web search engine query stream automatically, using an exact match followed by n-gram approach. These approaches have the advantage of being implementable in real time for query classification of Web searches. The implications are that a search engine can improve retrieval performance by more effectively identifying the intent underlying user queries.

© All rights reserved Jansen and Booth and/or their publisher

 
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Jansen, Bernard J., Chowdury, Abdur and Cook, Geoff (2010): The ubiquitous and increasingly significant status message. In Interactions, 17 (3) pp. 15-17.

2009
 
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Zhang, Mimi and Jansen, Bernard J. (2009): Influences of mood on information seeking behavior. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3395-3400.

In this study, we explored how moods influence the way people seek information. We conducted a controlled lab study to test our hypotheses drawn from affect-as-information theory. Fifty-eight participants were randomly assigned to the happy or sad condition. They were primed for a certain mood, and they then performed a search task and finished a series of questionnaires. Our findings supported affect-as-information: the comparatively happy participants were inclined to process more general and less specific information; the comparatively sad participants were likely to process more specific information. The findings advances theoretical and empirical understanding concerning the characteristics of users' information seeking behavior under different moods. Our study will contribute to affective search systems design.

© All rights reserved Zhang and Jansen and/or ACM Press

 
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Jansen, Bernard J., Zhang, Mimi, Sobel, Kate and Chowdury, Abdur (2009): Micro-blogging as online word of mouth branding. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3859-3864.

In this paper, we report research results investigating micro-blogging as a form of online word of mouth branding. We analyzed 149,472 micro-blog postings containing branding comments, sentiments, and opinions. We investigated the overall structure of these micro-blog postings, types of expressions, and sentiment fluctuations. Of the branding micro-blogs, nearly 20 percent contained some expressions of branding sentiments. Of these tweets with sentiments, more than 50 percent were positive and 33 percent critical of the company or product. We discuss the implications for organizations in using micro-blogging as part of their overall marketing strategy and branding campaigns.

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Jansen, Bernard J., Booth, Danielle and Spink, Amanda (2009): Predicting query reformulation during web searching. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3907-3912.

his paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in order to predict what the next query reformulation would be. We employed an n-gram modeling approach to describe the probability of searchers transitioning from one query reformulation state to another and predict their next state. We developed first, second, third, and fourth order models and evaluated each model for accuracy of prediction. Findings show that Reformulation and Assistance account for approximately 45 percent of all query reformulations. Searchers seem to seek system searching assistant early in the session or after a content change. The results of our evaluations show that the first and second order models provided the best predictability, between 28 and 40 percent overall, and higher than 70 percent for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance in real time.

© All rights reserved Jansen et al. and/or ACM Press

2008
 
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Jansen, Bernard J. (2008): Click Fraud. In IEEE Computer, 40 (7) pp. 85-86.

2007
 
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Jansen, Bernard J., Zhang, Mimi and Zhang, Ying (2007): Brand awareness and the evaluation of search results. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1139-1140.

We investigate the effect of search engine brand (i.e., the identifying name or logo that distinguishes a product from its competitors) on evaluation of system performance. This research is motivated by the large amount of search traffic directed to a handful of Web search engines, even though most are of equal technical quality with similar interfaces. We conducted a laboratory study with 32 participants to measure the effect of four search engine brands while controlling for the quality of search engine results. There was a 25% difference between the most highly rated search engine and the lowest using average relevance ratings, even though search engine results were identical in both content and presentation. Qualitative analysis suggests branding affects user views of popularity, trust and specialization. We discuss implications for search engine marketing and the design of search engine quality studies.

© All rights reserved Jansen et al. and/or International World Wide Web Conference Committee

 
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Jansen, Bernard J., Booth, Danielle L. and Spink, Amanda (2007): Determining the user intent of web search engine queries. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1149-1150.

Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the user intent underlying Web search engine queries. We qualitatively analyze samples of queries from seven transaction logs from three different Web search engines containing more than five million queries. From this analysis, we identified characteristics of user queries based on three broad classifications of user intent. The classifications of informational, navigational, and transactional represent the type of content destination the searcher desired as expressed by their query. We implemented our classification algorithm and automatically classified a separate Web search engine transaction log of over a million queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the classification to the results from our algorithm. This comparison showed that

© All rights reserved Jansen et al. and/or International World Wide Web Conference Committee

 
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Jansen, Bernard J., Smith, Brian and Booth, Danielle L. (2007): Understanding web search via a learning paradigm. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1207-1208.

Investigating whether one can view Web searching as a learning process, we examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified the searching tasks according an updated version of Bloom's taxonomy, a six level categorization of cognitive learning. Results show that Applying takes the most searching effort as measured by queries per session and specific topics searched per sessions. The lower level categories of Remembering and Understanding exhibit searching characteristics similar to the higher order learning of Evaluating and Creating. It appears that searchers rely primarily on their internal knowledge for Evaluating and Creating, using searching primarily as fact checking and verification. Implications are that the commonly held notion that Web searchers have simple information needs may not be correct. We discuss the implications for Web searching, including designing interfaces to support exploration.

© All rights reserved Jansen et al. and/or International World Wide Web Conference Committee

 
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Jansen, Bernard J. (2007): Investigating the relevance of sponsored results for web ecommerce queries. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007. pp. 857-858.

Are sponsored links, the primary business model for Web search engines, providing Web consumers with relevant results? This research addresses this issue by investigating the relevance of sponsored and non-sponsored links for ecommerce queries from the major search engines. The results show that average relevance ratings for sponsored and non-sponsored links are virtually the same, although the relevance ratings for sponsored links are statistically higher. We used 108 ecommerce queries and 8,256 retrieved links for these queries from three major Web search engines, Google, MSN, and Yahoo!. We present the implications for Web search engines and sponsored search as a long-term business model as well as a mechanism for finding relevant information for searchers.

© All rights reserved Jansen and/or ACM Press

 
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Jansen, Bernard J., Smith, Brian and Booth, Danielle L. (2007): Viewing online searching within a learning paradigm. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007. pp. 859-860.

In this research, we investigate whether one can model online searching as a learning paradigm. We examined the searching characteristics of 41 participants engaged in 246 searching tasks. We classified the searching tasks according to Anderson and Krathwohl's Taxonomy, an updated version of Bloom's taxonomy. Anderson and Krathwohl is a six level categorization of cognitive learning. Research results show that Applying takes the most searching effort as measured by queries per session and specific topics searched per sessions. The categories of Remembering and Understanding, which are lower-order learning levels, exhibit searching characteristics similar to the higher order categories of Evaluating and Creating. It seems that searchers rely primarily on their internal knowledge and use searching primarily as fact checking and verification when engaged in Evaluating and Creating. Implications are that the commonly held notions of Web searchers having simple information goals may not be correct. We discuss the implications for Web searching, including designing interfaces to support exploration and alternate views.

© All rights reserved Jansen et al. and/or ACM Press

 
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Jansen, Bernard J., Spink, Amanda and Koshman, Sherry (2007): Web searcher interaction with the Dogpile.com metasearch engine. In JASIST - Journal of the American Society for Information Science and Technology, 58 (5) pp. 744-755.

 
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Jansen, Bernard J., Spink, Amanda, Blakely, Chris and Koshman, Sherry (2007): Defining a session on Web search engines. In JASIST - Journal of the American Society for Information Science and Technology, 58 (6) pp. 862-871.

 
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Jansen, Bernard J. and Spink, Amanda (2007): Sponsored Search: Is Money a Motivator for Providing Relevant Results?. In IEEE Computer, 40 (8) pp. 52-57.

 
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Jansen, Bernard J. (2007): The comparative effectiveness of sponsored and nonsponsored links for Web e-commerce queries. In ACM Transactions on the Web, 1 (1) p. 3.

The predominant business model for Web search engines is sponsored search, which generates billions in yearly revenue. But are sponsored links providing online consumers with relevant choices for products and services? We address this and related issues by investigating the relevance of sponsored and nonsponsored links for e-commerce queries on the major search engines. The results show that average relevance ratings for sponsored and nonsponsored links are practically the same, although the relevance ratings for sponsored links are statistically higher. We used 108 ecommerce queries and 8,256 retrieved links for these queries from three major Web search engines: Yahoo!, Google, and MSN. In addition to relevance measures, we qualitatively analyzed the e-commerce queries, deriving five categorizations of underlying information

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2006
 
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Spink, Amanda, Partridge, Helen and Jansen, Bernard J. (2006): Sexual and pornographic Web searching: Trends analysis. In First Monday, 11 (9) .

 
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Jansen, Bernard J. and Resnick, Marc (2006): An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching. In JASIST - Journal of the American Society for Information Science and Technology, 57 (14) pp. 1949-1961.

 
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Koshman, Sherry, Spink, Amanda and Jansen, Bernard J. (2006): Web searching on the Vivisimo search engine. In JASIST - Journal of the American Society for Information Science and Technology, 57 (14) pp. 1875-1887.

 
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Jansen, Bernard J. (2006): Paid Search. In IEEE Computer, 39 (7) pp. 88-90.

 
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Jansen, Bernard J. (2006): Using temporal patterns of interactions to design effective automated searching assistance. In Communications of the ACM, 49 (4) pp. 72-74.

 
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Jansen, Bernard J., Mullen, Tracy, Spink, Amanda and Pedersen, Jan O. (2006): Automated gathering of Web information: An in-depth examination of agents interacting with search engines. In ACM Trans. Internet Techn., 6 (4) pp. 442-464.

2005
 
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Jansen, Bernard J. and McNeese, Michael D. (2005): Evaluating the effectiveness of and patterns of interactions with automated searching assistance. In JASIST - Journal of the American Society for Information Science and Technology, 56 (14) pp. 1480-1503.

 
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Jansen, Bernard J., Spink, Amanda and Pedersen, Jan O. (2005): A temporal comparison of AltaVista Web searching. In JASIST - Journal of the American Society for Information Science and Technology, 56 (6) pp. 559-570.

2003
 
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Eastman, Caroline M. and Jansen, Bernard J. (2003): Coverage, relevance, and ranking: The impact of query operators on Web search engine results. In ACM Transactions on Information Systems, 21 (4) pp. 383-411.

Research has reported that about 10% of Web searchers utilize advanced query operators, with the other 90% using extremely simple queries. It is often assumed that the use of query operators, such as Boolean operators and phrase searching, improves the effectiveness of Web searching. We test this assumption by examining the effects of query operators on the performance of three major Web search engines. We selected one hundred queries from the transaction log of a Web search service. Each of these original queries contained query operators such as AND, OR, MUST APPEAR (+), or PHRASE (" "). We then removed the operators from these one hundred advanced queries. We submitted both the original and modified queries to three major Web search engines; a total of 600 queries were submitted and 5,748 documents evaluated. We compared the results from the original queries with the operators to the results from the modified queries without the operators. We examined the results for changes in coverage, relative precision, and ranking of relevant documents. The use of most query operators had no significant effect on coverage, relative precision, or ranking, although the effect varied depending on the search engine. We discuss implications for the effectiveness of searching techniques as currently taught, for future information retrieval system design, and for future research.

© All rights reserved Eastman and Jansen and/or ACM Press

2002
 
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Spink, Amanda, Jansen, Bernard J., Wolfram, Dietmar and Saracevic, Tefko (2002): From E-Sex to E-Commerce: Web Search Changes. In IEEE Computer, 35 (3) pp. 107-109.

2001
 
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Jansen, Bernard J. and Pooch, Udo W. (2001): A review of Web searching studies and a framework for future research. In JASIST - Journal of the American Society for Information Science and Technology, 52 (3) pp. 235-246.

 
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Wolfram, Dietmar, Spink, Amanda, Jansen, Bernard J. and Saracevic, Tefko (2001): Vox populi: The public searching of the web. In JASIST - Journal of the American Society for Information Science and Technology, 52 (12) pp. 1073-1074.

2000
 
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Brown, Garland, Fisher, Marshall, Stoll, Ned, Beeksma, Dave, Black, Mark, Taylor, Ron, Yon, Choe Seok, Williams, Aaron J., Bryant, William and Jansen, Bernard J. (2000): Using the lessons of Y2K to improve information systems architecture. In Communications of the ACM, 43 (10) pp. 90-97.

1999
 
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Jansen, Bernard J. (1999): A Software Agent for Performance Improvement of Existing Information Retrieval Systems. In: Maybury, Mark T. (ed.) International Conference on Intelligent User Interfaces 1999 January 5-8, 1999, Redondo Beach, California, USA. p. 192.

This paper describes a software agent developed specifically for integration with existing information retrieval interfaces and search engines. The software agent assists the user with query reformulation. The agent assistance is based on characteristics of the user population, user actions during the search process, information from retrieved documents, and historical information from past queries. With minor modification, the software agent can be integrated with a variety of interfaces and search engines.

© All rights reserved Jansen and/or ACM Press

1998
 
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Jansen, Bernard J. (1998): The Graphical User Interface: An Introduction. In ACM SIGCHI Bulletin, 30 (2) pp. 22-26.

 
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Jansen, Bernard J., Spink, Amanda and Saracevic, Tefko (1998): Failure Analysis in Query Construction: Data and Analysis from a Large Sample of Web Queries. In: DL98: Proceedings of the 3rd ACM International Conference on Digital Libraries 1998. pp. 289-290.

This paper reports results from a failure analysis (i.e., incorrect query construction) of 51,473 queries from 18,113 users of Excite, a major Web search engine. Given that many digital libraries are accessed via the Web, this analysis points to the need for redesign of the traditional search engine interfaces.

© All rights reserved Jansen et al. and/or ACM Press

1997
 
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Jansen, Bernard J. (1997): An Information Retrieval Application for Simulated Annealing. In: DL97: Proceedings of the 2nd ACM International Conference on Digital Libraries 1997. pp. 259-260.

 
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URL: http://www.interaction-design.org/references/authors/bernard_j__jansen.html

Publication statistics

Pub. period:1997-2011
Pub. count:36
Number of co-authors:32



Co-authors

Number of publications with 3 favourite co-authors:

Amanda Spink:12
Sherry Koshman:3
Geoff Cook:3

 

 

Productive colleagues

Bernard J. Jansen's 3 most productive colleagues in number of publications:

Amanda Spink:39
Michael D. McNeese:21
Ying Zhang:20
 
 
 
Jul 11

Creative without strategy is called ‘art‘. Creative with strategy is called ‘advertising‘

-- Jef I. Richards

 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

Kumar and Herger 2013: Gamification at Work: Designing Engaging Business Software...
by Janaki Mythily Kumar and Mario Herger

 
Start reading

Whitworth and Ahmad 2013: The Social Design of Technical Systems: Building technologies for communities...
by Brian Whitworth and Adnan Ahmad

 
Start reading

Soegaard and Dam 2013: The Encyclopedia of Human-Computer Interaction, 2nd Ed....
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!