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Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

Manuel J. A. Eugster, Tuukka Ruotsalo, Michiel M. Spapé, Oswald Barral, Niklas Ravaja, Giulio Jacucci, Samuel Kaski
2016 Scientific Reports  
Estimation of a user's interest or search intention is necessary to recommend and retrieve relevant information from these collections.  ...  We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals.  ...  SI Intent Modeling-Based Recommendation provides details on the intent estimation model based on the LinRel algorithm and specifics on the evaluation measures for document retrieval.  ... 
doi:10.1038/srep38580 pmid:27929077 pmcid:PMC5143956 fatcat:s5ig25fsp5d77oyi7dqttwnspu

Correlating perception-oriented aspects in user-centric recommender system evaluation

Alan Said, Brijnesh J. Jain, Andreas Lommatzsch, Sahin Albayrak
2012 Proceedings of the 4th Information Interaction in Context Symposium on - IIIX '12  
user-centric factors, e.g. diversity, serendipity, novelty, etc., as well as bringing further insights in the topic by analyzing and translating the problem of evaluation from an Information Retrieval  ...  Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the recommendation algorithm.  ...  Acknowledgements This work was carried out during the tenure of an ERCIM "Alain Bensoussan" Fellowship Programme.  ... 
doi:10.1145/2362724.2362778 dblp:conf/iiix/SaidJLA12 fatcat:caksfmk5dnh7jczpyx7i3i4fwy

A Recommender System for Process Discovery [chapter]

Joel Ribeiro, Josep Carmona, Mustafa Mısır, Michele Sebag
2014 Lecture Notes in Computer Science  
In this paper, we present a recommender system that uses portfolio-based algorithm selection strategies to face the following problems: to find the best discovery algorithm for the data at hand, and to  ...  Experiments performed with the developed tool witness the usefulness of the approach for a variety of instances.  ...  information retrieval algorithm (cf.  ... 
doi:10.1007/978-3-319-10172-9_5 fatcat:vid24t64lfgedfi6vzx3vb3akq

A Performance Prediction Approach to Enhance Collaborative Filtering Performance [chapter]

Alejandro Bellogín, Pablo Castells
2010 Lecture Notes in Computer Science  
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field.  ...  We investigate the adaptation of clarity-based query performance predictors to predict neighbor performance in CF.  ...  From the perspective of an IR system, performance prediction provides a means to address the problem of retrieval consistency: a retrieval system can invoke alternative retrieval strategies for different  ... 
doi:10.1007/978-3-642-12275-0_34 fatcat:lrhy4g5pffh3fgeaw36rna2zqm

Predicting performance in recommender systems

Alejandro Bellogin
2011 Proceedings of the fifth ACM conference on Recommender systems - RecSys '11  
Performance prediction has gained growing attention in the Information Retrieval field since the late nineties and has become an established research topic in the field.  ...  Then, we propose to introduce the performance predictor in a recommender system to produce a dynamic strategy.  ...  In this thesis, we take the perspective of an IR system and apply it to RS, where performance prediction helps addressing the problem of retrieval consistency, that is, a retrieval system can invoke alternative  ... 
doi:10.1145/2043932.2044009 dblp:conf/recsys/Bellogin11 fatcat:cm7dpvq45bbcxeyzh7rcqjqy5m

Recommender Systems

Hannes Werthner, Hans Hansen, Franceso Ricci
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
From Information Retrieval, recommendation technology research derives the vision that users searching for recommendations are engaged in an information search process; from an Artificial Intelligence  ...  Research on recommender systems has overlapped many computer science and information systems topics, especially Information Retrieval and Artificial Intelligence were of major importance.  ...  Proceedings of the 40th Annual Hawaii International Conference on System Sciences (HICSS'07) 0-7695-2755-8/07 $20.00 © 2007  ... 
doi:10.1109/hicss.2007.459 dblp:conf/hicss/WerthnerHR07 fatcat:g24x7z4ykbewtdfvif4segjx2u

Predicting Neighbor Goodness in Collaborative Filtering [chapter]

Alejandro Bellogín, Pablo Castells
2009 Lecture Notes in Computer Science  
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field.  ...  The proposed predictors are introduced in a memory-based CF algorithm to produce a dynamic variant where neighbor ratings are weighted based on their predicted performance.  ...  From the perspective of an IR system, performance prediction provides a means to address the problem of retrieval consistency: a retrieval system can invoke alternative retrieval strategies for different  ... 
doi:10.1007/978-3-642-04957-6_52 fatcat:wtz77nq2pbadtl57bbzjw3qdnq

Rain or shine? Forecasting search process performance in exploratory search tasks

Chirag Shah, Chathra Hendahewa, Roberto González-Ibáñez
2015 Journal of the Association for Information Science and Technology  
Most information retrieval (IR) systems consider relevance, usefulness, and quality of information objects (documents, queries) for evaluation, prediction, and recommendation, often ignoring the underlying  ...  Our prediction method uses a collection of features extracted from expression of information need and coverage of information.  ...  IR Perspective From an IR perspective, Radinsky et al. (2012) explored models to predict users' behaviors in a population of web searchers in order to improve results retrieved by IR systems.  ... 
doi:10.1002/asi.23484 fatcat:mtd244xxnzblteakt67lve357u

Image annotation with high-level words using generalised attributes

Qianyu Zhang
2016 ANU Undergraduate Research Journal  
The resulting system yields not only an improvement in statistical accuracy over the baseline, but also a huge improvement in the quality and relevance of images retrieved in image retrieval and tags predicted  ...  The emergence of social media sharing communities has led to the need for accurate context-based image retrieval methods, which can be accomplished by an automatic annotation system.  ...  The current measures do not reflect the actual performance of the system in both image retrieval and tag prediction tasks.  ... 
doi:10.22459/aurj.07.2015.14 fatcat:hdx6xyqehrap5fqeizsse2soyq

Location and Qos based Web Service Recommender System

Afreen Rafiq, Ayesha Ameen, Srinivasu Badugu
2015 International Journal of Computer Applications  
This recommender system extracts the information from two parameters called location and QoS values.  ...  After Clustering, the missing data is being predicted using the Pearson correlation of nearest neighboring approach. Prediction is done from both service perspective and user perspective.  ...  Generating Prediction For user a, the final prediction QoS of service s consists of two parts: prediction from user perspective and from service perspective , * ( 1) a s i u r r r     ………… Equation  ... 
doi:10.5120/ijca2015907637 fatcat:rwedfo4ijzepdjen2tuesbrauy

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques

Gilberto Ayala-Bastidas, Hector G. Ceballos, Francisco J. Cantu-Ortiz
2021 Computers  
The objective is to present an overview from 2002 to 2018 on the development of this topic, including trends, and addressed contexts.  ...  This outcome leaves open research opportunities from two particular perspectives—applying methodologies involving process mining for the context of research analytics and the feasibility study on long-term  ...  systems 36 Data management systems 1 Database design and models 1 Information retrieval 9 Retrieval tasks and goals 3 Search engine architectures and scalability 6 Information systems applications  ... 
doi:10.3390/computers10030035 fatcat:5pr5mhceurhdhdvvcrhohyuzyq

An intelligent knowledge sharing strategy featuring item-based collaborative filtering and case based reasoning

Z. Chedrawy, S.S.R. Abidi
2005 5th International Conference on Intelligent Systems Design and Applications (ISDA'05)  
The N information objects are then subjected to a CBR based compositional adaptation method to further select relevant information objects from the N retrieved past cases in order to generate a more fine-grained  ...  We apply item-based similarity computation in a CF framework to retrieve N information objects based on the user's interests and recommended by peer.  ...  to or retrieved by an individual-i.e. personalized information filtering.  ... 
doi:10.1109/isda.2005.22 dblp:conf/isda/ChedrawyA05 fatcat:icp67bbm5zccbdpjvxxuoe52na

Comparing and evaluating information retrieval algorithms for news recommendation

Toine Bogers, Antal van den Bosch
2007 Proceedings of the 2007 ACM conference on Recommender systems - RecSys '07  
In this paper, we argue that the performance of content-based news recommender systems has been hampered by using relatively old and simple matching algorithms.  ...  We perform both binary and graded evaluation of our algorithms and argue for the need for more graded evaluation of content-based recommender systems.  ...  ACKNOWLEDGMENTS We would like to thank our colleagues from the ILK workgroup for helping us judge the Reuters documents on their relatedness.  ... 
doi:10.1145/1297231.1297256 dblp:conf/recsys/BogersB07 fatcat:cgtphqkowzhlbkm7hqtn3cujem

About Performance Evaluation of the Movie Recommendation Systems

Shreya Agrawal, Pooja Jain
2017 International Journal of Computer Applications  
By doing the performance evaluation of a system, one can prove the potential of a recommendation system. The more high performance a system gives more is its worth as compared to others.  ...  For more and more usage of any system, it is necessary to know about the efficiency of the system and for this reason performance evaluation of a Recommendation system is done.  ...  In such an information overload condition, users wish to locate desired information quickly. So, a need arises for a system which can do this work for us easily.  ... 
doi:10.5120/ijca2017912739 fatcat:dthbja57fratxlaapsf3gzgafi

Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search [article]

Qingyao Ai, Lakshmi Narayanan Ramasamy
2021 arXiv   pre-print
With increasing concerns on the transparency and accountability of AI systems, studies on explainable information retrieval has received more and more attention in the research community.  ...  Product retrieval systems have served as the main entry for customers to discover and purchase products online.  ...  from the perspectives of Informativeness and Satisfaction.  ... 
arXiv:2108.05317v1 fatcat:5vapypbupvh7hc4vjokpxbqita
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