Cited By
View all- Jacucci GDaee PVuong TAndolina SKlouche KSjöberg MRuotsalo TKaski S(2021)Entity Recommendation for Everyday Digital TasksACM Transactions on Computer-Human Interaction10.1145/345891928:5(1-41)Online publication date: 20-Aug-2021
Flexible entity search on surfaces
Authors: 
Tuukka Ruotsalo, 
Khalil Klouche, Diogo Cabral, 
Salvatore Andolina, 
Giulio JacucciAuthors Info & Claims
Tuukka Ruotsalo, Khalil Klouche, Diogo Cabral, Salvatore Andolina, Giulio JacucciAuthors Info & ClaimsPages 175 - 179
Abstract
Surface computing allows flexible search interaction where users can manipulate the representation of entities recommended for them to create new queries or augment existing queries by taking advantage of increased screen estate and almost physical tactile interaction. We demonstrate a search system based on 1) Direct Manipulation of Entity Representation on Surfaces and 2) Entity Recommendation and Document Retrieval. Entities are modeled as a knowledge-graph and the relevances of entities are computed using the graph structure. Users can manipulate the representation of entities via spatial grouping and assigning preferences on entities. Our contribution can help to design effective information exploration systems that take advantage of large surfaces.
References
[1]
Ahn, J.-W., and Brusilovsky, P. Adaptive visualization for exploratory information retrieval. Inf. Proc. Man. 49, 5 (Sept. 2013), 1139--1164.
[2]
Balog, K., Bron, M., and De Rijke, M. Query modeling for entity search based on terms, categories, and examples. ACM Trans. Inf. Syst. 29, 4 (Dec. 2011), 22:1--22:31.
[3]
Chau, D. H., Kittur, A., Hong, J. I., and Faloutsos, C. Apolo: Making sense of large network data by combining rich user interaction and machine learning. In Proc. CHI '11, ACM (2011), 167--176.
[4]
Cheng, T., Yan, X., and Chang, K. C.-C. Supporting entity search: A large-scale prototype search engine. In Proc. SIGMOD, ACM (2007), 1144--1146.
[5]
Dork, M., Henry Riche, N., Ramos, G., and Dumais, S. Pivotpaths: Strolling through faceted information spaces. IEEE Trans. Vis. and Comp. Graph. 18, 12 (Dec. 2012), 2709--2718.
[6]
Hinrichs, U., Butscher, S., Müller, J., and Reiterer, H. Diving in at the deep end: The value of alternative in-situ approaches for systematic library search. In Proc. CHI, ACM (2016), 4634--4646.
[7]
Hinrichs, U., Carpendale, S., Valkanova, N., Kuikkaniemi, K., Jacucci, G., and Vande Moere, A. Interactive public displays. IEEE Comput. Graph. Appl. 33, 2 (Mar. 2013), 25--27.
[8]
Jacucci, G., Morrison, A., Richard, G. T., Kleimola, J., Peltonen, P., Parisi, L., and Laitinen, T. Worlds of information: Designing for engagement at a public multi-touch display. In Proc. CHI '10, ACM (2010), 2267--2276.
[9]
Jeh, G., and Widom, J. Scaling personalized web search. In Proc. WWW, WWW '03, ACM (2003), 271--279.
[10]
Jetter, H.-C., Gerken, J., Zöllner, M., Reiterer, H., and Milic-Frayling, N. Materializing the query with facet-streams: A hybrid surface for collaborative search on tabletops. In Proc. CHI, ACM (2011), 3013--3022.
[11]
Klouche, K., Ruotsalo, T., Cabral, D., Andolina, S., Bellucci, A., and Jacucci, G. Designing for exploratory search on touch devices. In Proc. CHI, ACM (2015), 4189--4198.
[12]
Meij, E., Balog, K., and Odijk, D. Entity linking and retrieval for semantic search. In Proc. WSDM, ACM (2014), 683--684.
[13]
Morris, M. R., Fisher, D., and Wigdor, D. Search on surfaces: Exploring the potential of interactive tabletops for collaborative search tasks. Inf. Proc. & Man. 46, 6 (2010), 703 -- 717. Collaborative Information Seeking.
[14]
Morris, M. R., Lombardo, J., and Wigdor, D. Wesearch: supporting collaborative search and sensemaking on a tabletop display. In Proc. CSCW, ACM (2010), 401--410.
[15]
Pu, P., Chen, L., and Hu, R. A user-centric evaluation framework for recommender systems. In Proc. RecSys '11, ACM (2011), 157--164.
[16]
Ruotsalo, T. Methods and Applications for Ontology-Based Recommender Systems. PhD thesis, Aalto University School of Science and Technology, Finland, 2010.
[17]
Ruotsalo, T. Domain specific data retrieval on the semantic web. In Proc. ESWC, Springer-Verlag (2012), 422--436.
[18]
Ruotsalo, T., and Hyvönen, E. Exploiting semantic annotations for domain-specific entity search. In Proc. ECIR 2015, Springer International Publishing (2015), 358--369.
[19]
Ruotsalo, T., Jacucci, G., Myllymäki, P., and Kaski, S. Interactive intent modeling: Information discovery beyond search. Commun. ACM 58, 1 (Dec. 2014), 86--92.
[20]
Ruotsalo, T., Peltonen, J., Eugster, M., Glowacka, D., Konyushkova, K., Athukorala, K., Kosunen, I., Reijonen, A., Myllymäki, P., Jacucci, G., and Kaski, S. Directing exploratory search with interactive intent modeling. In Proc. CIKM, ACM (2013), 1759--1764.
[21]
Shaer, O., Strait, M., Valdes, C., Feng, T., Lintz, M., and Wang, H. Enhancing genomic learning through tabletop interaction. In Proc. CHI '11, ACM (2011), 2817--2826.
[22]
Thudt, A., Hinrichs, U., and Carpendale, S. The bohemian bookshelf: Supporting serendipitous book discoveries through information visualization. In Proc. CHI '12, ACM (2012), 1461--1470.
[23]
Varcholik, P. D., Jr., J. J. L., and Hughes, C. E. Establishing a baseline for text entry for a multi-touch virtual keyboard. Int. J. of Human-Computer Studies 70, 10 (2012), 657 -- 672.
[24]
Zhai, C., and Lafferty, J. A study of smoothing methods for language models applied to ad hoc information retrieval. In c. SIGIR '01, ACM (2001), 334--342.
Index Terms
- Flexible entity search on surfaces
Recommendations
Concordance-based entity-oriented search
We consider the problem of finding relevant named entities in response to a search query over a given text corpus. Entity search can readily be used to augment conventional web search engines for a variety of applications. We use entity concordance ...
Entity search on the web
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebMore than the half of queries in the logs of a web search engine refer directly to a single named entity or a named set of entities [1]. To support entity search queries, search engines have begun developing targeted functionality, such as rich displays ...
Unified entity search in social media community
WWW '13: Proceedings of the 22nd international conference on World Wide WebThe search for entities is the most common search behavior on the Web, especially in social media communities where entities (such as images, videos, people, locations, and tags) are highly heterogeneous and correlated. While previous research usually ...
Comments
Information & Contributors
Information
Published In
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 December 2016
Check for updates
Author Tags
Qualifiers
- Short-paper
Funding Sources
Conference
MUM '16
MUM '16: 15th International Conference on Mobile and Ubiquitous Multimedia
December 12 - 15, 2016
Rovaniemi, Finland
Acceptance Rates
MUM '16 Paper Acceptance Rate 35 of 77 submissions, 45%;
Overall Acceptance Rate 190 of 465 submissions, 41%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 103Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 02 Sep 2024
Other Metrics
Citations
Cited By
View all- Jacucci GDaee PVuong TAndolina SKlouche KSjöberg MRuotsalo TKaski S(2021)Entity Recommendation for Everyday Digital TasksACM Transactions on Computer-Human Interaction10.1145/345891928:5(1-41)Online publication date: 20-Aug-2021
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in