Loading presentation...

Present Remotely

Send the link below via email or IM


Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.


Mobile Information Retrieval

No description

Allison Hasselfield

on 19 November 2012

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Mobile Information Retrieval

Mobile Information
Retrieval Overview & Introduction User Experience Technology Problems
& Challenges The Future Implications Mobile user needs........ Informational Geographic Personal Information Management What does this say about how users search on mobile devices? Why is Mobile IR important? mobile devices are everywhere mobile devices are getting smarter What is the scope of Mobile IR? How is it different? device
limitations contextual
data-gathering different
tendencies dynamic
environment 58%
Informational 31%
Geographic 11%
Personal When does a need really become a need? Importance Urgency Cost Situational context Library Resources Libraries Go Mobile: Academic Mobile Expectations User Needs Libraries Go Mobile: Public Mobile Friendliness Mobile Website Mobile Applications Mobile on a Global Scale Digital Divide

Social Movements

Democracy SIGIR 2011 Conference: Enriching Information Retrieval Social Networks Physiological Data Sentiment and Emotional Data Reading Level weather traffic bus times music contacts internet
search calendar directions References Roli Keusch, Nokia 9000, May 8, 2009, Attribution-NonCommercial-ShareAlike 2.0. Ben Schumin, Two cell phones, October 2, 2011, Attribution-NonCommercial-ShareAlike 2.0 Generic. key drivers of
mobile computing:
• mobile devices

• wireless networks

• cloud computing Bahl, Han, Li, & Satyanarayanan (2012) Amini et al. (2012):
mobile search “Students are results – oriented and value convenience. This emphasis coupled with the design constraints on some devices promotes a need to get to relevance quickly. Socialization, personalization and location awareness become very important” Lorcan Dempsey, Vice President and Chief Strategist, OCLC “We conjecture that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.” Bennett et al., 2012 (SIGIR 2011 Conference) "Mobile devices will be most individuals’ primary electronic device used for their calendar, voice and e-mail, small scale video, learning, surfing, search, GIS, etc – basically most everything. This moves the virtual world from home or office-based computing to truly personal computing." Stephen Abram, Vice President of Innovation, SirsiDynix Abbott, J. (2012). Democracy@internet.org Revisited: analysing the socio-political impact of the internet and new social media in East Asia. Third World Quarterly, 33 (2).

Amini, S., Brush, A. J., Krumm, J., Teevan, J., & Karlson, A. (2012). Trajectory-aware mobile search. 2561-2564. doi: 10.1145/2207676.2208644

Bennett, P., El-Arini, K., Joachims, T., & Svore, K. (2012). Enriching information retrieval. ACM SIGIR Forum, 45(2), 60-65. doi: 10.1145/2093346.2093355

Bridges, L., Gascho Rempel, H. & Griggs, K. (2010). Making the case for a fully mobile library web site: from floor maps to the catalog. Reference Services Review, 38 (2), 309 - 320.

Chiumbu, S. (2012). Exploring mobile phone practices in social movements in South Africa - the Western Cape Anti-Eviction Campaign. African identities, 10 (2), 193-206.

Church, K. & Smyth, B. (2007). Understanding mobile information needs. Proceedings of the 10th international conference on human computer interaction with mobile devices and services, 2–5 September, Amsterdam. New York: ACM Press, 493–494.

Church, K., Smyth, B., & Keane, M.T. (2006). Evaluating interfaces for intelligent mobile search. Proceedings of the 2006 international cross-disciplinary workshop on Web accessibility (W4A), 23–26 May, Edinburgh. New York: ACM Press, 69–78.

Faletski, I. (2011, Dec 16). Four critical ways mobile search is different. Retrieved November 2012. http://econsultancy.com/ca/blog/8521-four-critical-ways-mobile-search-is-different.

Goker, A., Davies, J., & ebrary, I. (2009). Information retrieval: Searching in the 21st century. Chichester, West Sussex, U.K: Wiley.

Hanson, C. (2011). Mobile solutions for your library. Library technology reports, 47 (2), 24-31.

Kamvar, M. and Baluja, S., 2007. Deciphering trends in mobile search. Computer, 40 (8), 58–62.McClure, M. (2011). Creating a recipe for success mobile search in action. EContent, 34(4), 22-26. Retrieved from http://ezproxy.library.ubc.ca/login?url=http://search.proquest.com/docview/865377174?accountid=14656

MacManus, R. (2012, July 5). Top Trends of 2012: The Continuing Rapid Growth of Mobile. Retrieved November 2012. http://readwrite.com/2012/07/05/top-trends-of-2012-the-continuing-rapid-growth-of-mobile

Mountain, D., Myrhaug, H., & Goker, A. (2009). Mobile search. In Goker, A. & Davies, J., Information retrieval: Searching in the 21st century. Chichester, West Sussex, U.K: Wiley.

Salz, P. (2009). Humanizing mobile search. EContent, pp. 21.

Sohn, T. et al. (2008). A diary study of mobile information needs. Proceedings of SIGCHI conference of human factors in computing systems. ACM Press, 433–442.

Tamine-Lechani, L., Boughanem, M., & Daoud, M. (2010). Evaluation of contextual information retrieval effectiveness: Overview of issues and research. Knowledge and Information Systems, 24(1), 1-34. doi: 10.1007/s10115-009-0231-1

Teevan, J., Karlson, A., Amini, S., Brush, A., & Krumm, J. (2011). Understanding the importance of location, time, and people in mobile local search behavior. 77-80. doi: 10.1145/2037373.2037386

Tsai, F. S., Etoh, M., Xie, X., Lee, W., & Yang, Q. (2010). Introduction to mobile information retrieval. IEEE Intelligent Systems, 25(1), 11-15. doi: 10.1109/MIS.2010.22

Westlund, O., Gomez-Barroso, J., Compano, R., & Feijoo, C. (2011). Exploring the logic of mobile search. Behaviour & Information Technology, 30(5), 691-703. doi: 10.1080/0144929X.2010.516020

Yarmey, K. (2011). Student information literacy in the mobile environment. EDUCAUSE Quarterly, 34(1)

Zhou, Y., Broussard, R., & Lease, M. (2011). Mobile options for online public access catalogs. Proceedings of the 2011 iConference on - iConference ’11 (pp. 598–605). New York, New York, USA: ACM Press. doi:10.1145/1940761.1940842 “Mobile search should exploit contextual information, such as relevant data embedded in the mobile device, information in the surrounding environment, and the user’s profiles or behavioral patterns, to improve search result relevance or to provide a more valuable and entertaining user experience.” Gomez-Barroso et al. (2011). Opportunities in the mobile search market. Computer, 44(11), 83-85. Information Physical Space growing demand for the ability to use mobile devices in the workplace raises concerns about data loss and information security CSA Mobile Working Group (2012) Mobile Networks surging demand for mobile access to high-bandwidth multimedia (Youtube videos, etc.) may soon outstrip the capacity of existing mobile networks BBC News (2012a) barriers to internet access:

(1) service gaps in rural and remote areas
(2) financial cost of obtaining access
(3) lack of computer literacy cloud computing services provide a way of outsourcing computational resources, which helps to compensate for the performance limitations of mobile devices Cloud Computing mobile cloud computing = major research area bodes well for the creation of more efficient (and affordable?) devices, but raises concerns about privacy and the protection of personal information Privacy “big data” = mining data to support highly personalized advertising and a streamlined consumer experience

widely regarded as the future of advertising, but at what cost to privacy? Houpt (2012) recent IBM survey found that people are increasingly willing to trade personal information for a more personalized consumer experience

user education about privacy concerns remains a significant challenge Skariachan (2012) Information Security • greater integration with work and business = greater need to control access
• if authentication is awkward or confusing, then users will go elsewhere
• balance between ease-of-access and appropriate level of information security Zhou, Broussard, & Lease (2011) mobile devices
mobile networks
cloud computing
information security Mobile Devices Search filter Spatial location Time Personal preferences Types of filters for mobile searches: Evaluation of need
Full transcript