Skip to main content

Search Support Tools

  • Chapter
  • First Online:
Understanding and Improving Information Search

Abstract

This chapter presents in-depth reviews of search tools for supporting information search. With the brief introduction of cutting-edge search support tools, we describe the key ideas behind the tools and implications for design. We also discuss the limitations of conventional search interfaces to explore directions for future research on search support tools.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    While the gradual mode performs the transition as a seamless animation over the course of a second or two, the immediate mode shows the destination promptly with no animation.

  2. 2.

    The accordion control is a user interface widget that uses collapsible content panels for presenting information in limited space.

References

  • Agrawal R, Gollapudi S, Halverson A, Ieong S (2009) Diversifying search results. In: Proceedings of the second ACM international conference on web search and data mining, WSDM 2009. ACM, pp 5–14

    Google Scholar 

  • Aktolga E, Allan J (2013) Sentiment diversification with different biases. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2013. ACM, pp 593–602

    Google Scholar 

  • Allan J, Croft B, Moffat A, Sanderson M (2012) Frontiers, challenges, and opportunities for information retrieval: report from SWIRL 2012 the second strategic workshop on information retrieval in Lorne. SIGIR Forum 46(1):2–32

    Article  Google Scholar 

  • Bailey P, White RW, Liu H, Kumaran G (2010) Mining historic query trails to label long and rare search engine queries. ACM Trans Web 4(4):15:1–15:27

    Article  Google Scholar 

  • Bateman S, Teevan J, White RW (2012) The search dashboard: how reflection and comparison impact search behavior. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 2012. ACM, pp 1785–1794

    Google Scholar 

  • Biega AJ, Gummadi KP, Weikum G (2018) Equity of attention: amortizing individual fairness in rankings. In: The 41st international ACM SIGIR conference on research and development in information retrieval, SIGIR 2018. ACM, pp 405–414

    Google Scholar 

  • Bilenko M, White RW (2008) Mining the search trails of surfing crowds: identifying relevant websites from user activity. In: Proceedings of the 17th international conference on World Wide Web, WWW 2008. ACM, pp 51–60

    Google Scholar 

  • Bota H, Zhou K, Jose JM (2016) Playing your cards right: the effect of entity cards on search behaviour and workload. In: Proceedings of the 2016 ACM on conference on human information interaction and retrieval, CHIIR 2016. ACM, pp 131–140

    Google Scholar 

  • Capra R, Arguello J, Crescenzi A, Vardell E (2015) Differences in the use of search assistance for tasks of varying complexity. In: Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2015. ACM, pp 23–32

    Google Scholar 

  • Castillo C (2019) Fairness and transparency in ranking. SIGIR Forum 52(2):64–71

    Article  Google Scholar 

  • Chilton LB, Teevan J (2011) Addressing people’s information needs directly in a web search result page. In: Proceedings of the 20th international conference on World Wide Web, WWW 2011. ACM, pp 27–36

    Google Scholar 

  • Clarke CL, Kolla M, Cormack GV, Vechtomova O, Ashkan A, BĂĽttcher S, MacKinnon I (2008) Novelty and diversity in information retrieval evaluation. In: Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR 2008. ACM, pp 659–666

    Google Scholar 

  • Clarke CL, Kolla M, Vechtomova O (2009) An effectiveness measure for ambiguous and underspecified queries. In: Proceedings of the 2nd international conference on theory of information retrieval: advances in information retrieval theory, ICTIR 2009. Springer, pp 188–199

    Google Scholar 

  • Collins-Thompson K, Hansen P, Hauff C (2017) Search as learning (Dagstuhl Seminar 17092). Dagstuhl Rep 7(2):135–162

    Google Scholar 

  • Craswell N, Zoeter O, Taylor M, Ramsey B (2008) An experimental comparison of click position-bias models. In: Proceedings of the 2008 international conference on web search and data mining, WSDM 2008. ACM, pp 87–94

    Google Scholar 

  • Croft B, Metzler D, Strohman T (2009) Search engines: information retrieval in practice, 1st edn. Addison-Wesley Publishing Company

    Google Scholar 

  • Culpepper JS, Diaz F, Smucker MD (2018) Research frontiers in information retrieval: report from the third strategic workshop on information retrieval in Lorne (SWIRL 2018). SIGIR Forum 52(1):34–90

    Article  Google Scholar 

  • Diriye A, Blandford A, Tombros A (2010) When is system support effective? In: Proceedings of the third symposium on information interaction in context, IIiX 2010. ACM, pp 55–64

    Google Scholar 

  • Donato D, Bonchi F, Chi T, Maarek Y (2010) Do you want to take notes?: identifying research missions in Yahoo! search pad. In: Proceedings of the 19th international conference on World Wide Web, WWW 2010. ACM, pp 321–330

    Google Scholar 

  • Dou Z, Hu S, Chen K, Song R, Wen JR (2011) Multi-dimensional search result diversification. In: Proceedings of the fourth ACM international conference on web search and data mining, WSDM 2011. ACM, pp 475–484

    Google Scholar 

  • Elsweiler D, Trattner C, Harvey M (2017) Exploiting food choice biases for healthier recipe recommendation. In: Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2017. ACM, pp 575–584

    Google Scholar 

  • Ennals R, Trushkowsky B, Agosta JM (2010) Highlighting disputed claims on the web. In: Proceedings of the 19th international conference on World Wide Web, WWW 2010. ACM, pp 341–350

    Google Scholar 

  • Epstein R, Robertson RE (2015) The search engine manipulation effect (seme) and its possible impact on the outcomes of elections. Proc Natl Acad Sci 112(33):E4512–E4521

    Article  Google Scholar 

  • Eugster MJ, Ruotsalo T, SpapĂ© MM, Kosunen I, Barral O, Ravaja N, Jacucci G, Kaski S (2014) Predicting term-relevance from brain signals. In: Proceedings of the 37th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2014. ACM, pp 425–434

    Google Scholar 

  • Feild H, White RW, Fu X (2013) Supporting orientation during search result examination. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 2013. ACM, pp 2999–3008

    Google Scholar 

  • Flanagin AJ, Metzger MJ (2008) The credibility of volunteered geographic information. GeoJournal 72(3–4):137–148

    Article  Google Scholar 

  • Fogg BJ, Tseng H (1999) The elements of computer credibility. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 1999. ACM, pp 80–87

    Google Scholar 

  • Garimella K, De Francisci Morales G, Gionis A, Mathioudakis M (2017) Reducing controversy by connecting opposing views. In: Proceedings of the tenth ACM international conference on web search and data mining, WSDM 2017. ACM, pp 81–90

    Google Scholar 

  • Gillani N, Yuan A, Saveski M, Vosoughi S, Roy D (2018) Me, my echo chamber, and I: introspection on social media polarization. In: Proceedings of the 2018 World Wide Web conference, international World Wide Web conferences steering committee, WWW 2018, pp 823–831

    Google Scholar 

  • Hahn N, Chang JC, Kittur A (2018) Bento browser: complex mobile search without tabs. In: Proceedings of the 2018 CHI conference on human factors in computing systems, CHI 2018. ACM, pp 251:1–251:12

    Google Scholar 

  • Harvey M, Hauff C, Elsweiler D (2015) Learning by example: training users with high-quality query suggestions. In: Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2015. ACM, pp 133–142

    Google Scholar 

  • Hearst MA (1995) TileBars: visualization of term distribution information in full text information access. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 1995. ACM Press/Addison-Wesley Publishing Co., pp 59–66

    Google Scholar 

  • Hearst MA (2009) Search user interfaces, 1st edn. Cambridge University Press

    Google Scholar 

  • Hoeber O, Yang XD (2006) A comparative user study of web search interfaces: Hotmap, concept highlighter, and google. In: Proceedings of the 2006 IEEE/WIC/ACM international conference on web intelligence, WI 2006. IEEE Computer Society, pp 866–874

    Google Scholar 

  • Hölscher C, Strube G (2000) Web search behavior of internet experts and newbies. Comput Netw 33(1–6):337–346

    Article  Google Scholar 

  • Iwata M, Sakai T, Yamamoto T, Chen Y, Liu Y, Wen JR, Nishio S (2012) AspecTiles: tile-based visualization of diversified web search results. In: Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2012. ACM, pp 85–94

    Google Scholar 

  • Joachims T, Swaminathan A, Schnabel T (2017) Unbiased learning-to-rank with biased feedback. In: Proceedings of the tenth ACM international conference on web search and data mining, WSDM 2017. ACM, pp 781–789

    Google Scholar 

  • Kato MP, Yamamoto T, Ohshima H, Tanaka K (2014) Investigating users’ query formulations for cognitive search intents. In: Proceedings of the 37th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2014. ACM, pp 577–586

    Google Scholar 

  • Kelly D (2009) Methods for evaluating interactive information retrieval systems with users. Found Trends Inf Retr 3(1–2):1–224

    Google Scholar 

  • Liao QV, Fu WT (2014) Expert voices in echo chambers: effects of source expertise indicators on exposure to diverse opinions. In: Proceedings of the 32nd annual ACM conference on human factors in computing systems, CHI 2014. ACM, pp 2745–2754

    Google Scholar 

  • Liu S, Tajima K (2010) WildThumb: a web browser supporting efficient task management on wide displays. In: Proceedings of the 15th international conference on intelligent user interfaces, IUI 2010. ACM, pp 159–168

    Google Scholar 

  • Marchionini G (1995) Information seeking in electronic environments. Cambridge University Press

    Google Scholar 

  • Marchionini G (2006) Exploratory search: from finding to understanding. Commun ACM 49(4):41–46

    Article  Google Scholar 

  • Metzger MJ (2007) Making sense of credibility on the web: models for evaluating online information and recommendations for future research. J Am Soc Inf Sci Technol 58(13):2078–2091

    Article  Google Scholar 

  • Moraveji N, Russell D, Bien J, Mease D (2011) Measuring improvement in user search performance resulting from optimal search tips. In: Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2011. ACM, pp 355–364

    Google Scholar 

  • Munson SA, Lee SY, Resnick P (2013) Encouraging reading of diverse political viewpoints with a browser widget. In: Proceedings of the seventh international AAAI conference on weblogs and social media, ICWSM 2013, pp 419–428

    Google Scholar 

  • Pogacar FA, Ghenai A, Smucker MD, Clarke CL (2017) The positive and negative influence of search results on people’s decisions about the efficacy of medical treatments. In: Proceedings of the ACM SIGIR international conference on theory of information retrieval, ICTIR 2017. ACM, pp 209–216

    Google Scholar 

  • Qvarfordt P, Golovchinsky G, Dunnigan T, Agapie E (2013) Looking ahead: query preview in exploratory search. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2013. ACM, pp 243–252

    Google Scholar 

  • Raman K, Bennett PN, Collins-Thompson K (2013) Toward whole-session relevance: exploring intrinsic diversity in web search. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2013. ACM, pp 463–472

    Google Scholar 

  • Santos RL, Macdonald C, Ounis I (2010) Exploiting query reformulations for web search result diversification. In: Proceedings of the 19th international conference on World Wide Web, WWW 2010. ACM, pp 881–890

    Google Scholar 

  • Saracevic T (1996) Relevance reconsidered. In: Proceedings of the second conference on conceptions of library and information science, pp 201–218

    Google Scholar 

  • Savenkov D, Agichtein E (2014) To hint or not: exploring the effectiveness of search hints for complex informational tasks. In: Proceedings of the 37th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2014. ACM, pp 1115–1118

    Google Scholar 

  • Singh A, Joachims T (2018) Fairness of exposure in rankings. In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery and data mining, KDD 2018. ACM, pp 2219–2228

    Google Scholar 

  • Singla A, White R, Huang J (2010) Studying trailfinding algorithms for enhanced web search. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval, SIGIR 2010. ACM, pp 443–450

    Google Scholar 

  • Teevan J, Adar E, Jones R, Potts MAS (2007) Information re-retrieval: repeat queries in Yahoo’s logs. In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR 2007. ACM, pp 151–158

    Google Scholar 

  • Teevan J, Cutrell E, Fisher D, Drucker SM, Ramos G, AndrĂ© P, Hu C (2009) Visual snippets: summarizing web pages for search and revisitation. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 2009. ACM, pp 2023–2032

    Google Scholar 

  • Tsukuda K, Sakai T, Dou Z, Tanaka K (2013) Estimating intent types for search result diversification. In: Proceedings of the 9th Asia information retrieval societies conference, AIRS 2013. Springer, pp 25–37

    Google Scholar 

  • Tyler SK, Teevan J (2010) Large scale query log analysis of re-finding. In: Proceedings of the third ACM international conference on web search and data mining, WSDM 2010. ACM, pp 191–200

    Google Scholar 

  • Umemoto K, Yamamoto T, Tanaka K (2016) ScentBar: a query suggestion interface visualizing the amount of missed relevant information for intrinsically diverse search. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2016. ACM, pp 405–414

    Google Scholar 

  • Wang X, Yu C, Baumgartner S, Korn F (2018) Relevant document discovery for fact-checking articles. In: Companion proceedings of the the web conference 2018, international World Wide Web conferences steering committee, WWW 2018, pp 525–533

    Google Scholar 

  • White R (2013) Beliefs and biases in web search. In: Proceedings of the 36th international ACM SIGIR conference on research and development in information retrieval, SIGIR 2013. ACM, pp 3–12

    Google Scholar 

  • White RW (2014) Belief dynamics in web search. J Assoc Inf Sci Technol 65(11):2165–2178

    Article  Google Scholar 

  • White RW, Horvitz E (2009) Cyberchondria: studies of the escalation of medical concerns in web search. ACM Trans Inf Syst 27(4):23:1–23:37

    Article  Google Scholar 

  • White RW, Huang J (2010) Assessing the scenic route: measuring the value of search trails in web logs. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval, SIGIR 2010. ACM, pp 587–594

    Google Scholar 

  • White RW, Roth RA (2009) Exploratory search: beyond the query-response paradigm. Synthesis lectures on information concepts, retrieval, and services. Morgan & Claypool Publishers

    Google Scholar 

  • White RW, Bilenko M, Cucerzan S (2007) Studying the use of popular destinations to enhance web search interaction. In: Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR 2007. ACM, pp 159–166

    Google Scholar 

  • White RW, Dumais ST, Teevan J (2009) Characterizing the influence of domain expertise on web search behavior. In: Proceedings of the second ACM international conference on web search and data mining, WSDM 2009. ACM, pp 132–141

    Google Scholar 

  • Wildemuth BM, Freund L (2012) Assigning search tasks designed to elicit exploratory search behaviors. In: Proceedings of the symposium on human-computer interaction and information retrieval, HCIR 2012. ACM, pp 4:1–4:10

    Google Scholar 

  • Yamamoto Y, Shimada S (2016) Can disputed topic suggestion enhance user consideration of information credibility in web search? In: Proceedings of the 27th ACM conference on hypertext and social media, HT 2016. ACM, pp 169–177

    Google Scholar 

  • Yamamoto Y, Tanaka K (2011) Enhancing credibility judgment of web search results. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 2011. ACM, pp 1235–1244

    Google Scholar 

  • Yamamoto Y, Yamamoto T (2018) Query priming for promoting critical thinking in web search. In: Proceedings of the 2018 conference on human information interaction & retrieval, CHIIR 2018. ACM, pp 12–21

    Google Scholar 

  • Yuan X, White R (2012) Building the trail best traveled: effects of domain knowledge on web search trailblazing. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI 2012. ACM, pp 1795–1804

    Google Scholar 

  • Zha ZJ, Yang L, Mei T, Wang M, Wang Z (2009) Visual query suggestion. In: Proceedings of the 17th ACM international conference on multimedia, MM 2009. ACM, pp 15–24

    Google Scholar 

  • Zhang Y, Zhang Y, Zhang M (2019) Report on EARS’18: 1st international workshop on explainable recommendation and search. SIGIR Forum 52(2):125–131

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kazutoshi Umemoto .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Umemoto, K., Yamamoto, T., Tanaka, K. (2020). Search Support Tools. In: Fu, W., van Oostendorp, H. (eds) Understanding and Improving Information Search. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-030-38825-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-38825-6_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38824-9

  • Online ISBN: 978-3-030-38825-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics