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User Simulations for Interactive Search: Evaluating Personalized Query Suggestion [chapter]

Suzan Verberne, Maya Sappelli, Kalervo Järvelin, Wessel Kraaij
2015 Lecture Notes in Computer Science  
In this paper, we address the question "what is the influence of user search behaviour on the effectiveness of personalized query suggestion?".  ...  We set up a series of experiments in which we simulate a large range of user session behaviour to investigate its influence. We found that query suggestion is not profitable for all user types.  ...  In this paper, we evaluate query suggestion for interactive search tasks in a scientific domain.  ... 
doi:10.1007/978-3-319-16354-3_75 fatcat:k5c3df2j2vckfa4zenu5l5ih7m

Personalized interactive faceted search

Jonathan Koren, Yi Zhang, Xue Liu
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
A faceted search system presents users with keyvalue metadata that is used for query refinement.  ...  Faceted search is becoming a popular method to allow users to interactively search and navigate complex information spaces.  ...  Prob 5.6 Myopic Personal Personal Prob 5.0 Myopic Collab PMI 110.1 Table 6 : 6 Search Efficiency for Netflix Users Interaction Start FVP Suggest Ave Num Model State Method Actions First  ... 
doi:10.1145/1367497.1367562 dblp:conf/www/KorenZL08 fatcat:ydo72fmbaffv7dojvarhflwaba

Spoken Conversational Search

Johanne R. Trippas
2016 Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval - CHIIR '16  
This research investigates a new interface paradigm for interactive information retrieval (IIR) which forces us to shift away from the classic "ten blue links" search engine results page.  ...  approach to defining user information needs, presenting results and enabling search reformulations.  ...  It is suggested that Wizard of Oz (WOZ) methodologies are relevant for iterative development and evaluation of interactive interfaces [4] .  ... 
doi:10.1145/2854946.2854952 dblp:conf/chiir/Trippas16 fatcat:svobatlj2vhkdfnbt25zqm3fxi

Workshop on evaluating personal search

Liadh Kelly, Jinyoung Kim, David Elsweiler
2012 SIGIR Forum  
Elsweiler and Ruthven [5] suggested a method for creating semi-repeatable task-based user-study evaluations.  ...  Kelly and Teevan [8] outlined a number of ways of evaluating personal information behaviour. Chernov et al. [12] devised a means of creating a test collection for desktop search.  ...  6 B Acknowledgements We would like to thank ECIR for hosting the workshop. Thanks also go to the program committee  ... 
doi:10.1145/2093346.2093359 fatcat:urv52iqdpncerjm3slbjvjrjo4

Designing Search Tasks for Archive Search

Jaspreet Singh, Avishek Anand
2017 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval - CHIIR '17  
We not only propose task descriptions but also pre and post-task evaluation mechanisms that can be employed for a large-scale study (crowdsourcing).  ...  Our initial findings show the viability of such tasks for investigating search behavior in archives.  ...  However, little work has been done to understand how users interact with specialized search engines and interfaces for specific search tasks.  ... 
doi:10.1145/3020165.3022153 dblp:conf/chiir/SinghA17 fatcat:2ltf4nhvknerhhiwvamcy72ty4

CLEF 2017 Dynamic Search Evaluation Lab Overview [chapter]

Evangelos Kanoulas, Leif Azzopardi
2017 Lecture Notes in Computer Science  
To seed the discussion, a pilot task was run with the goal of producing search agents that could simulate the process of a user, interacting with a search system over the course of a search session.  ...  , simulations methods, and current evaluation metrics.  ...  Guido Zuccon for setting up the ElasticSearch API.  ... 
doi:10.1007/978-3-319-65813-1_31 fatcat:bczfn7xtvbgivgyppwm7ka7xxy

Graph Search and Beyond

Omar Alonso, Marti A. Hearst, Jaap Kamps
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
This goes beyond the traditional two-term queries and ten blue links results that users are familiar with, requiring a highly interactive session covering both query formulation and result exploration.  ...  We view the notion of "graph search" as searching information from your personal point of view (you are the query) over a highly structured and curated information space.  ...  Acknowledgments This research is funded in part by the Netherlands Organization for Scientific Research (ExPoSe project, NWO CI # 314.99.108; DiLiPaD project, NWO Digging into Data # 600.006.014).  ... 
doi:10.1145/2766462.2767855 dblp:conf/sigir/AlonsoHK15 fatcat:7ejwifwngzejhhxtsakbnvxtf4

Query Term Suggestion in Academic Search [chapter]

Suzan Verberne, Maya Sappelli, Wessel Kraaij
2014 Lecture Notes in Computer Science  
We set up an interactive search system in which terms are extracted from clicked documents and suggested to the user before every query specification step.  ...  In this paper, we evaluate query term suggestion in the context of academic professional search. Our overall goal is to support scientists in their information seeking tasks.  ...  Information on actual user interaction is not available. To compensate for this, we use a click model for simulating user interaction with the system.  ... 
doi:10.1007/978-3-319-06028-6_57 fatcat:2yalm6i6mbewvcrwj6fcl7qz3e

Personalized Search [article]

Fredrik Nygård Carlsen
2015 arXiv   pre-print
This work experiments with re-ranking using offline and online evaluation of users and documents in CDS.  ...  The experiments conclude that the personalized search result outperform both latest first and word similarity in terms of click position in the search result for global search in CDS.  ...  For that reason, it was necessary to extend the tool to be able to re-do the search performed by user x, with query y, and then look for the position of item z in the simulated search result.  ... 
arXiv:1509.02207v1 fatcat:42xcqzb5ujcdbkvnzjxxjrwuku

An asynchronous collaborative search system for online video search

Martin Halvey, David Vallet, David Hannah, Yue Feng, Joemon M. Jose
2010 Information Processing & Management  
This evaluation simulated multiple conditions and scenarios for collaboration, varying on awareness, division of labour, sense making and persistence.  ...  In order to evaluate our system a user evaluation was conducted.  ...  This also serves as a baseline for all future user interactions, as it simulates a user carrying out a search in a non collaborative scenario.  ... 
doi:10.1016/j.ipm.2009.11.007 fatcat:oiwlj3rl3ng6zmbdthg42vldiy

Investigating queries and search failures in academic search

Xinyi Li, Bob J.A. Schijvenaars, Maarten de Rijke
2017 Information Processing & Management  
Personalization yields very little further improvements over session-conditional query suggestions.  ...  They appear in different types of search sessions, and prevent users from achieving their search goal.  ...  Acknowledgments We would like to thank our reviewers for their helpful comments.  ... 
doi:10.1016/j.ipm.2017.01.005 fatcat:3z4uofyf5vgm5k5kt3wxaqyhse

Directing exploratory search

Dorota Glowacka, Tuukka Ruotsalo, Ksenia Konuyshkova, kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci
2013 Proceedings of the 2013 international conference on Intelligent user interfaces - IUI '13  
We present an interactive information retrieval system that combines Reinforcement Learning techniques along with a novel user interface design to allow active engagement of users in directing the search  ...  Techniques for both exploratory and known item search tend to direct only to more specific subtopics or individual documents, as opposed to allowing directing the exploration of the information space.  ...  The user modeling process is restarted once the user types in a new query and we build a new user model for each session to avoid the issue of "over-personalization".  ... 
doi:10.1145/2449396.2449413 dblp:conf/iui/GlowackaRKAKJ13 fatcat:supm3rcsifalrpooj5zriuzzpa

Competitive Search

Oren Kurland, Moshe Tennenholtz
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
theoretic framework for competitive search, methods of learning-to-rank that account for post-ranking effects, approaches to automatic document manipulation, addressing societal aspects and evaluation  ...  The Web is a canonical example of a competitive search setting that includes document authors with ranking incentives: their goal is to promote their documents in rankings induced for queries.  ...  We thank the reviewers for their comments.  ... 
doi:10.1145/3477495.3532771 fatcat:itaskaajqrdtbdyhyvldnqeaoy

PRISENIT -- A Probabilistic Search Recommendation Algorithm to Improve Search Efficiency for Network Intelligence and Troubleshooting

Mikel Zuzuarregui, Enda Fallon, Mingxue Wang, John Keeney, Paul Jacob
2015 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim)  
Currently there exists no known query-based recommender adaptation mechanism for network management. Existing search engines use previous user searches to make a suggestion based on the keyword.  ...  PRISENIT is a query-based recommendation algorithm intended to improve search efficiency and usability for telecommunication system management.  ...  PRISENIT learns previous user search interactions and experiences to give suggestions for new search queries.  ... 
doi:10.1109/uksim.2015.30 dblp:conf/uksim/ZuzuarreguiFWKJ15 fatcat:3oijwxspend2fmbqrsyihnxjku

Multimedia search reranking

Tao Mei, Yong Rui, Shipeng Li, Qi Tian
2014 ACM Computing Surveys  
Numerous techniques have been developed for visual search re-ranking. The purpose of this paper is to categorize and evaluate these algorithms.  ...  We also discuss relevant issues such as data collection, evaluation metrics, and benchmarking. We conclude with several promising directions for future research.  ...  Ting Yao, for their insightful discussions. The authors also would like to thank the anonymous reviewers for their valuable comments. This work was supported in part to Dr.  ... 
doi:10.1145/2536798 fatcat:6kmga3jo4fa2tp4354wukfuzja
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