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Biasing web search results for topic familiarity

Giridhar Kumaran, Rosie Jones, Omid Madani
2005 Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05  
We develop a method for biasing the initial mix of documents returned by a search engine to increase the number of documents of desired familiarity level up to position 5, and up to position 10.  ...  web page is defined as A web page that assumes sufficient background knowledge of the topic it is on, and familiarity with the key technical/ important terms in the topic, and potentially builds on them  ...  Our experiments indicate that we can perform search result biasing for arbitrary users on arbitrary queries. Copyright is held by the author/owner.  ... 
doi:10.1145/1099554.1099622 dblp:conf/cikm/KumaranJM05 fatcat:vxpex3zijjekncis54fbdl7skm

Enhancing web activities with information visualization

Eduardo Graells-Garrido
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Many activities people perform on the Web are biased, including activities like reading news, searching for information and connecting with people.  ...  We select a Web activity, identify the biases that affect it, and evaluate how the biases affect a population from online social networks using web mining techniques, and then, we design a visualization  ...  The design contains organic features and familiar elements (word-clouds). Each word is a characterizing topic for the portrayed user. Each dot represents a tweet linked to one or more topics.  ... 
doi:10.1145/2567948.2567958 dblp:conf/www/Graells-Garrido14 fatcat:3scldqkfv5dcpmm5zgad3lxrri

Enhancing credibility judgment of web search results

Yusuke Yamamoto, Katsumi Tanaka
2011 Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11  
In this paper, we propose a system for helping users to judge the credibility of Web search results and to search for credible Web pages.  ...  Experimental results suggest that our system enables users -in particular, users with knowledge about search topics -to find credible Web pages from a list of Web search results more efficiently than conventional  ...  "Informatics Education and Research for Knowledge-Circulating Society," the National Institute of Information and Communications Technology, Japan, and Grantsin-Aid for Scientific Research (No. 09J01243  ... 
doi:10.1145/1978942.1979126 dblp:conf/chi/YamamotoT11 fatcat:ard4veaqbrcw7ia4at6cgxjvr4

Evaluating web-sources: Internet literacy and L2 academic writing

P. Stapleton
2005 ELT Journal  
This paper argues that there is a need among learners for a heightened critical awareness of web-source nuances.  ...  It is suggested that L2 learners, in particular, may require both consciousness raising and practice in recognizing the biases that exist in websites.  ...  For example, in a search that I made of opposing sites, this time on the topic of gun control, such biases were clearly evident.  ... 
doi:10.1093/eltj/cci027 fatcat:64qzbcc24jap5kicfbyp5x7eg4

Wired and Worried: Understanding Users' Emotions while Web Searching for Health Information

Pallavi Rao
2016 Procedia Computer Science  
The gap in the literature and the results from the exploratory study shows that there is a need for further research to delve deeper into understanding users' emotions during Web searching for health information  ...  In this paper, a critical analysis of the previous studies on Web searching for health information is done and it is found that emotions in Web searching for health information is scantly addressed area  ...  search the Web for health information.  ... 
doi:10.1016/j.procs.2016.04.077 fatcat:h6qzmavezrenvoitaril3moybm

Enhanced Visualization for Web-Based Summaries

Brent Wenerstrom, Mehmed M. Kantardzic
2011 International Workshop on Very Large Data Search  
For each search result presented by a search engine, a user has a choice to click through for more information or to skip the result.  ...  Improvements in user click precision will lead to better user experiences, the more efficient finding of search results and higher confidence levels in search engine usage.  ...  Third, we display in red terms central to the web page's topic which potentially differ from the topic of the keywords searched for.  ... 
dblp:conf/vlds/WenerstromK11 fatcat:bgambfmdqvd7jh34y2nif6j67m

Investigating users' query formulations for cognitive search intents

Makoto P. Kato, Takehiro Yamamoto, Hiroaki Ohshima, Katsumi Tanaka
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
with CSIs, while our evaluations demonstrated that the performance of a current Web search engine was much lower when we not only considered users' topical search intents but also CSIs; and (iv) we demonstrated  ...  Our findings suggest users over-adapt to current Web search engines, and create opportunities to estimate CSIs with non-verbal user input.  ...  ACKNOWLEDGEMENTS This work was supported in part by the following projects: Grantsin-Aid for Scientific Research (Nos. 24240013, 24680008, and 26700009) from MEXT of Japan, and Microsoft Research CORE  ... 
doi:10.1145/2600428.2609566 dblp:conf/sigir/KatoYOT14 fatcat:khstwkxhsndntmf4ys5buqgpqm

Word Clouds of Multiple Search Results [chapter]

Rianne Kaptein, Jaap Kamps
2011 Lecture Notes in Computer Science  
Our findings are: First, biasing the cloud towards the query does not lead to test persons better distinguishing relevance and topic of the search results, but test persons prefer them because differences  ...  An alternative to showing individual web pages summarized by snippets is to represent whole group of results.  ...  Secondly, documents are grouped by subtopic of the search request. Search results are usually documents related to the same topic, that is the topic of the search request.  ... 
doi:10.1007/978-3-642-21353-3_7 fatcat:rm2qazo67ndpddu4gtipb4pm54

International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020) [chapter]

Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo
2020 Lecture Notes in Computer Science  
Both search and recommendation algorithms provide results based on their relevance for the current user.  ...  Being able to measure, characterize, and mitigate these biases while keeping high effectiveness is a topic of central interest for the information retrieval community.  ...  For this critical reason, being able to detect, measure, characterize, and mitigate these biases while keeping high effectiveness is a prominent and timely topic for the IR community.  ... 
doi:10.1007/978-3-030-45442-5_84 fatcat:d3qzkywr5zhsfpfrfy24vcrwru

The Impact of Technical Domain Expertise on Search Behavior and Task Outcome [article]

Julia Kiseleva and Alejandro Montes García and Jaap Kamps and Nikita Spirin
2015 arXiv   pre-print
We focus on Java and Javascript, yet we believe that our study and results are applicable for other expertise-sensitive search tasks.  ...  Search transaction logs play the crucial role in the result ranking.  ...  Acknowledgments The questionnaires, collected data, and the code for running the study, are available from mpechen/projects/capa/#Datasets.  ... 
arXiv:1512.07051v1 fatcat:5rgl3cgnqvgy5hagkgr276dupm

Selection and evaluation of Internet information by adults with intellectual disabilities

Ladislao Salmerón, Inmaculada Fajardo, Marcos Gómez-Puerta
2018 European Journal of Special Needs Education  
web pages while searching the Internet for several topics (e.g.  ...  This pattern of results suggests that, first, we should avoid overprotection when people with ID search for familiar topics and, second, they need more support when searching for information about less  ...  Researchers would like to thank participants for their generous contribution to this study and to Asociación APSA for the facilities offered to carry out the research.  ... 
doi:10.1080/08856257.2018.1468634 fatcat:lp4az5mjxffxljk6oevta3bv6i

Characterizing Interdisciplinarity of Researchers and Research Topics Using Web Search Engines

Hiroki Sayama, Jin Akaishi, Renaud Lambiotte
2012 PLoS ONE  
Here we reconstructed, using web search engines, a network representing the relatedness of researchers to their peers as well as to various research topics.  ...  Recently, general-purpose web search engines have also been utilized to collect information about social networks.  ...  The authors also thank Google for the data and their Web Search API which made this study possible. Author Contributions  ... 
doi:10.1371/journal.pone.0038747 pmid:22719935 pmcid:PMC3374816 fatcat:bktowov6wfdq3c3yqpxjkoairq

Google chemtrails: A methodology to analyze topic representation in search engine results

Andrea Ballatore
2015 First Monday  
This paper outlines an empirical methodology to analyze the representation of topics in search engines, reducing the spatial and temporal biases in the results.  ...  Search engine results influence the visibility of different viewpoints in political, cultural, and scientific debates.  ...  For each engine, for each Web site, and for each topic, two indicesthe Conspiracy Index (CI) and Polarization Index (PI) -are computed and analyzed.  ... 
doi:10.5210/fm.v20i7.5597 fatcat:3ppgvk56mvazlbr7hj6atlmjce

Drawing a data-driven portrait of Wikipedia editors

Robert West, Ingmar Weber, Carlos Castillo
2012 Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration - WikiSym '12  
Our results are relevant as they illuminate novel aspects of what has become many Web users' prevalent source of information.  ...  ., we demonstrate that a user's interest in the edited topic peaks immediately before the edit.  ...  Finally, we introduce a notion of interest in, or familiarity with, a topic based on users' search query histories and show that across topical domains Wikipedia editors show significantly more familiarity  ... 
doi:10.1145/2462932.2462937 dblp:conf/wikis/0001WC12 fatcat:nhfkqhpbp5g3pdxe7m5bq3kxza

Word Weighting Based on User's Browsing History [chapter]

Yutaka Matsuo
2003 Lecture Notes in Computer Science  
The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure), between a word in a document and words in the user model.  ...  Our system consists of three components: a proxy server that monitors access to the Web, a frequency server that stores the frequencies of words appearing on the accessed Web pages, and a keyword extraction  ...  Web Personae, a personalized search and browsing system, models users with multiple profiles, each corresponding to a distinct topic or domain [6] .  ... 
doi:10.1007/3-540-44963-9_7 fatcat:aieqgxd4rjg4rb37rwlv3kuzxu
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