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Tag-Based Paper Retrieval: Minimizing User Effort with Diversity Awareness [chapter]

Quoc Viet Hung Nguyen, Son Thanh Do, Thanh Tam Nguyen, Karl Aberer
2015 Lecture Notes in Computer Science  
Addressing this issue, our paper tackles the problem of automatically suggesting new tags for user when he formulates a query.  ...  In that, each paper is associated with a set of tags, allowing user to search for relevant papers by formulating tag-based queries against the system.  ...  Put It Altogether To balance informativeness and diversity in a top-k selection of tags, we design a quality measure for such a selection.  ... 
doi:10.1007/978-3-319-18120-2_30 fatcat:p7cv6n4ub5gm5ph7ave7qi7fze

User effort in query construction and interface selection

Paul Gerwe, Charles L. Viles
2000 Proceedings of the fifth ACM conference on Digital libraries - DL '00  
Survey results indicate a significant correlation between a user's level of effort and their perceived benefit from that effort.  ...  This study was designed to examine user beliefs and behavior on the selection and use of search features and search interfaces.  ...  Acknowledgements We thank Infoseek for donating the Ultraseek software. Thanks to Drs. Greg Newby and Bert Dempsey and the students who participated.  ... 
doi:10.1145/336597.336679 dblp:conf/dl/GerweV00 fatcat:6jkb4vqoazhori4o4eolqbbqwu

Active Preference Learning for Ranking Patterns

Vladimir Dzyuba, Matthijs Van Leeuwen, Siegfried Nijssen, Luc De Raedt
2013 2013 IEEE 25th International Conference on Tools with Artificial Intelligence  
We present a general framework for learning pattern ranking functions and propose a number of active learning heuristics that aim at minimizing the required user effort.  ...  We evaluate the capacity of the algorithm to learn a ranking of a subgroup set defined by a complex quality measure, given only reasonably small sample rankings.  ...  Matthijs van Leeuwen is supported by a Rubicon grant of the Netherlands Organisation for Scientific Research (NWO).  ... 
doi:10.1109/ictai.2013.85 dblp:conf/ictai/DzyubaLNR13 fatcat:ve4kndjkubd6rh3gaztwyrtuvu

Automatic term mismatch diagnosis for selective query expansion

Le Zhao, Jamie Callan
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
For a given topic, the proportion of relevant documents that do not contain a term measures the probability for the term to mismatch relevant documents, or the term mismatch probability.  ...  This may not be a big problem for topics with a large and diverse set of relevant documents, but would largely increase the chance of search failure for less popular search needs.  ...  We thank Chengtao Wen, Grace Hui Yang, Jin Young Kim, Charlie Clarke, Gordon Cormack and NIST for helpful discussions, feedback and access to data.  ... 
doi:10.1145/2348283.2348354 dblp:conf/sigir/ZhaoC12 fatcat:ksqca423gfaxpdwuawlcbeumpy

Selective user interaction

Giridhar Kumaran, James Allan
2007 Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07  
Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval, in part by the Defense Advanced Research Projects Agency (DARPA) under contract number HR0011-06-C-0023  ...  For the same user with time to spare for 60% of the queries, we can observe that using CV-based selection helps obtain better performance with the same effort, when compared to randomly selecting queries  ...  We now extend the procedures we have developed for selective user interaction to the scenario where a user presents the system with a set of queries along with a condition that she is willing to only interact  ... 
doi:10.1145/1321440.1321576 dblp:conf/cikm/KumaranA07 fatcat:h2sv4yxikjerrm73xpapalqvgy

Untangling Result List Refinement and Ranking Quality

Jiyin He, Marc Bron, Arjen de Vries, Leif Azzopardi, Maarten de Rijke
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
This provides a measure of user effort based on the joint effect of user interaction with RLR elements and result quality.  ...  We validate our framework by conducting a user study and comparing model predictions with real user performance. Our model predictions show significant positive correlation with real user effort.  ...  We use the effort users need to accomplish a task with the basic interface (effort b ) as the indicator of Dq. The higher effort b , the more difficult the query is for a basic interface.  ... 
doi:10.1145/2766462.2767740 dblp:conf/sigir/HeBVAR15 fatcat:gk4orwnuibdqvcg4qeucqln6gy

Different Users, Different Opinions

Yiqun Liu, Ye Chen, Jinhui Tang, Jiashen Sun, Min Zhang, Shaoping Ma, Xuan Zhu
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
Experimental results on over 1,000 user sessions show that the proposed strategies outperform existing methods and also have promising generalization capability for different users and queries.  ...  It is a non-trivial task for two major reasons: (1) The definition of satisfaction is rather subjective and different users may have different opinions in satisfaction judgement. (2) Most existing studies  ...  We can then use a combination of xi, yi to calculate a score for each participant to measure his/her reliability.  ... 
doi:10.1145/2766462.2767721 dblp:conf/sigir/LiuCTS0MZ15 fatcat:ebiihfio2nbpxhgctvn3ef6gu4

A Conversational Approach to Process-oriented Case-based Reasoning

Christian Zeyen, Gilbert Müller, Ralph Bergmann
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Current approaches typically require users to specify detailed queries, which can be a demanding task.  ...  An evaluation with cooking workflows indicates that C-POCBR can reduce the communication effort for users during retrieval.  ...  For the restriction workflows in a query we use a binary measure that evaluates whether a workflow case violates a given restriction or not.  ... 
doi:10.24963/ijcai.2018/762 dblp:conf/ijcai/ZeyenMB18 fatcat:argpjlcn3zaqvola4jcb4ozoji

Active learning approaches for learning regular expressions with genetic programming

Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao
2016 Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16  
We investigate several active learning approaches in which the user annotates only one desired extraction and then merely answers extraction queries generated by the system.  ...  The results indicate that active learning is indeed a viable framework in this application domain and may thus significantly decrease the amount of costly annotation effort required.  ...  Presenting a large snippet (e.g., one or more entire lines) to the user for annotation may nullify the objective of minimizing user annotation effort.  ... 
doi:10.1145/2851613.2851668 dblp:conf/sac/BartoliLMT16 fatcat:ldn5ndxrafgxzexr77nrap3lum

User effort minimization through adaptive diversification

Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, Vassilis Tsotras
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
We propose an efficient approximate algorithm to select a near-optimal subset of the query results that minimizes the expected user effort.  ...  We propose a principled method for adaptive diversification of query results that minimizes the user effort to find the desired results, by dynamically balancing the relevance and diversity at each query  ...  Note that, for a given query, the user navigation cost (the user "effort" or actions required to find the desired results) varies for different choices of the trade-off parameter (see Figure 2 , for the  ... 
doi:10.1145/2623330.2623610 dblp:conf/kdd/HasanKHT14 fatcat:uq6irm6xurc3paul33wqovnscm

Query side evaluation

Leif Azzopardi
2009 Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09  
In this paper, the effectiveness and effort of querying is empirically examined in the context of the Principle of Least Effort, Zipf's Law and the Law of Diminishing Returns.  ...  However, the effectiveness of a retrieval system is strongly influenced by the quality of the query submitted.  ...  Mark Baillie for their insightful comments and the useful discussions, and I would also like to thank the anonymous reviewers for their thoughtful and constructive suggestions and feedback.  ... 
doi:10.1145/1571941.1572037 dblp:conf/sigir/Azzopardi09 fatcat:bmz7bhsmqvdfng3utmtm3ivb6q

AIDE: An Automated Sample-based Approach for Interactive Data Exploration [article]

Kyriaki Dimitriadou and Olga Papaemmanouil and Yanlei Diao
2015 arXiv   pre-print
AIDE can deliver highly accurate query predictions for very common conjunctive queries with small user effort while, given a reasonable number of samples, it can predict with high accuracy complex disjunctive  ...  Such an automated system is crucial for deriving insights from complex datasets found in many big data applications such as scientific and healthcare applications as well as for reducing the human effort  ...  The user model can then be translated to a range query that selects either a single multi-dimensional relevant area (conjunctive query) or multiple ones (disjunctive query).  ... 
arXiv:1510.08897v1 fatcat:wj2otwbirjau3blvhbwqltl3iq

Approximately optimal facet selection

Sonya Liberman, Ronny Lempel
2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12  
A crucial aspect of faceted search applications is selecting the list of facets to display to the user following each query. We call this the facet selection problem.  ...  Multifaceted search is a popular interaction paradigm for discovery and mining applications that allows users to analyze and navigate through multidimensional data.  ...  Acknowledgments We thank Ravi Kumar and Andrew Tomkins for valuable discussions throughout the course of this work.  ... 
doi:10.1145/2245276.2245409 dblp:conf/sac/LibermanL12 fatcat:s5m6ek4asbf2fdobg3l4f5ecnm

Interactive data exploration based on user relevance feedback

Kyriaki Dimitriadou, Olga Papaemmanouil, Yanlei Diao
2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
Our approach relies on user relevance feedback on data samples to model user interests and strategically collects more samples to refine the model while minimizing the user effort.  ...  queries.  ...  Therefore, our goal is to discover relevant areas and propose to the user queries that select either a single relevant area (conjunctive queries) or multiple ones (disjunctive queries).  ... 
doi:10.1109/icdew.2014.6818343 dblp:conf/icde/DimitriadouPD14 fatcat:4ylbiu66ubg35k2ttstda5xqie

Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach [article]

Jiyun Luo, Yan Yang, Valerie Nayak, Grace Hui Yang
2021 arXiv   pre-print
Their underlying assumption is that the more effort a user spends, the more struggling the user may be. However, recent studies have suggested this simple association might be incorrect.  ...  This paper proposes a new feature modulation method for struggle detection and refers to the reversal theory in psychology.  ...  Efforts to Query. The first group of features measures user efforts spent on writing queries. We derive most of them from Edwards and Kelly’s work [10].  ... 
arXiv:2112.04711v1 fatcat:q7cwfwq6k5gepk26zwrybjuir4
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