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PIR Based in Explicit and Implicit Feedback

Alberto Andreu-Marín, Fernando Javier Martínez Santiago, Luis Alfonso Ureña López, Manuel Carlos Díaz-Galiano
2018 Conference and Labs of the Evaluation Forum  
In this way, we explore PIR task as a text categorization problem in order to distinguish between relevant and not relevant documents for the given user.  ...  A number of supervised machine learning algorithms has been applied in order to accomplish this task. The second one is related to implicit feedback.  ...  Acknowledgments Work supported by a grant from the Ministry of Education, Culture and Sport (MECD-Scholarship BES-2016-076609) and the REDES project (TIN2015-65136-C2-1-R) of the Spanish Government.  ... 
dblp:conf/clef/Andreu-MarinSLD18 fatcat:rersevycabh57epzigx3hgckqe

Personalized Item Ranking from Implicit User Feedback: A Heterogeneous Information Network Approach

Mukul Gupta, Pradeep Kumar, Bharat Bhasker
2017 Pacific Asia Journal of the Association for Information Systems  
Due to the sparseness of data and lack of explicit user preferences, the recommendations generated by model-based and neighborhood-based approaches are not effective.  ...  In this work, we propose a heterogeneous information network based recommendation model for personalized top-N recommendations using binary implicit feedback data.  ...  For recommendation generation, we can utilize explicit or binary implicit user feedback (Aggarwal, 2016) .  ... 
doi:10.17705/1pais.09202 fatcat:swnubqdwmffifct6skcztdwiui

A Framework for the Evaluation of Adaptive IR Systems through Implicit Recommendation [chapter]

Catherine Mulwa, Seamus Lawless, M. Rami Ghorab, Eileen O'Donnell, Mary Sharp, Vincent Wade
2011 Lecture Notes in Computer Science  
The framework uses implicit recommendation to guide users in deciding which evaluation techniques, metrics and criteria to use.  ...  Personalised Information Retrieval (PIR) has gained considerable attention in recent literature.  ...  Acknowledgements This research is based upon works supported by Science Foundation Ireland (Grant Number: 07/CE/I1142) as part of the Centre for Next Generation Localization (  ... 
doi:10.1007/978-3-642-22688-5_32 fatcat:i5r67jst5fek7op6xm67khlqlu

Enhanced Information Retrieval Using Domain-Specific Recommender Models [chapter]

Wei Li, Debasis Ganguly, Gareth J. F. Jones
2011 Lecture Notes in Computer Science  
When a user enters a query on a topic, new to this user, an appropriate recommender model is selected and used to predict a ranking which the user may find interesting based on the behaviour of previous  ...  We use search data from other previous users interested in the same topic to build a recommender model for this topic.  ...  Meanwhile some web search applications are exploring explicit feedback and hybrid approaches combined implicit and explicit feedback, e.g. Flickr, Youtube.  ... 
doi:10.1007/978-3-642-23318-0_19 fatcat:cvxpmlbhjnh5jleaa5w73cs6ce

Information Retrieval, Decision Making Process and User Needs

Rahat Iqbal, Nazaraf Shah
2012 Journal of computer and system sciences (Print)  
One of many personalisation techniques investigated in the literature is relevance feedback: explicit and implicit.  ...  In explicit feedback, users explicitly mark the documents as relevant or not relevant whereas in implicit feedback, the relevance is estimated based on behavioural observation such as reading time, click  ...  The seventh paper, by Pir Abdul Rasool Qureshi and Nasrullah Memon, discusses a model of content extraction from HTML documents. The approach is based on document object model (DOM).  ... 
doi:10.1016/j.jcss.2011.10.005 fatcat:eqdyjkkmn5fxlnd4yvpjah3iea

Development of the Tool to Reduce Inappropriate Medications (TRIM): A Clinical Decision Support System to Improve Medication Prescribing for Older Adults

Kristina M. Niehoff, Nallakkandi Rajeevan, Peter A. Charpentier, Perry L. Miller, Mary K. Goldstein, Terri R. Fried
2016 Pharmacotherapy  
Based on a series of algorithms, TRIM generates feedback reports for clinicians.  ...  Additional health variables obtained through chart review and direct patient assessment are entered into a Web-based program.  ...  The "if" statements look for markers of PIMs and PIRs, and the "then" statements are the feedback for clinicians if the marker is present.  ... 
doi:10.1002/phar.1751 pmid:27041466 pmcid:PMC4919149 fatcat:o2uc6qndhvcw3lfyjllsbqsztu

A comparative survey of Personalised Information Retrieval and Adaptive Hypermedia techniques

Ben Steichen, Helen Ashman, Vincent Wade
2012 Information Processing & Management  
This survey investigates the key techniques and impacts in the use of PIR and AH technology in order to identify such affordances and limitations.  ...  Over the past decades, two parallel threads of personalisation research have emerged, one originating in the document space in the area of Personalised Information Retrieval (PIR) and the other arising  ...  Query disambiguation is achieved using these relationships in conjunction with explicit user feedback.  ... 
doi:10.1016/j.ipm.2011.12.004 fatcat:tkohqt4rijenzohmnqrwckp4na

Challenges in personalized authority flow based ranking of social media

Hassan Sayyadi, John Edmonds, Vagelis Hristidis, Louiqa Raschid
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Further, user behavior in social media has moved beyond keyword based search and must support users who follow a particular blog or theme.  ...  In this research, we extend a social media dataset to exploit the associations between authors, blog posts, and categories (topics) of the posts.  ...  CONCLUSIONS We extended a social media dataset and provided accurate personalized authority flow based ranking for various type of virtual users.  ... 
doi:10.1145/1871437.1871634 dblp:conf/cikm/SayyadiEHR10 fatcat:tlazx4sr2vbsxmicl44iu43kha

On Search Engine Evaluation Metrics [article]

Pavel Sirotkin
2013 arXiv   pre-print
Both PIR and the meta-evaluation framework are tested in a study which shows some interesting preliminary results; in particular, the unquestioning adherence to metrics or their ad hoc parameters seems  ...  The first part of this thesis provides an overview of previous literature on the evaluation of search engine evaluation metrics themselves, as well as critiques of and comments on individual studies and  ...  Acknowledgements One man deserves the credit, one man deserves the blame… TOM LEHRER, "LOBACHEVSKY" I would like to thank my supervisor, Wolfgang Stock, who provided me with patience, support and the occasional  ... 
arXiv:1302.2318v1 fatcat:wye4hfhvxjh27adetcccnyynyu

Occupant Activity Detection in Smart Buildings: A Review

Yudith Cardinale, Eduardo Blanco
2020 International Journal of Wireless & Mobile Networks  
activities and highlight new possibilities in terms of activities diagnosis and analysis to generate more opportunities in optimizing the energy consumption and providing comfort in smart building.  ...  and (ii) pin down the lessons to learn from existing approaches and technologies in order to design better solutions in this regard.  ...  The study also shows a comparison of the results obtained using implicit and explicit sensing methods.  ... 
doi:10.5121/ijwmn.2020.12306 fatcat:4mrfpg25zvcbppy5ufxxigiyfq

Ambient Assisted Living for an Ageing Society: a Technological Overview

Marco Mobilio, Toshi Kato, Hiroko Kudo, Daniela Micucci
2016 International Conference of the Italian Association for Artificial Intelligence  
The rise in the average age and the decrease in the rate of births, cause the phenomenon called population ageing, which rises a number of issues.  ...  The oncoming shortage of caregivers and the strong desire of the older adults to live in their own homes originated an increasing interest in Ambient Assisted Living (AAL).  ...  The HCI may be explicit or implicit. Explicit HCI (eHCI) is used explicitly by the user who ask the system for something.  ... 
dblp:conf/aiia/MobilioKKM16 fatcat:vskg43x7zrbw7kfyk3m6is5hgq

The TREC-8 Query Track

Chris Buckley, Janet A. Walz
1999 Text Retrieval Conference  
They are all "bag-of-words" statistical systems, with the good systems all doing either implicit or explicit blind feedback query expansion.  ...  The PIR, INQe, Sabe, and APL runs are the best runs of their respective groups, all using their own version of query expansion based on blind feedback.  ... 
dblp:conf/trec/BuckleyW99 fatcat:2nrtgppu6basfjm4togax35rqa

Literature mining and database annotation of protein phosphorylation using a rule-based system

Z. Z. Hu, M. Narayanaswamy, K. E. Ravikumar, K. Vijay-Shanker, C. H. Wu
2005 Bioinformatics  
While of great value, such information is limited in databases owing to the laborious process of literature-based curation.  ...  An annotation-tagged literature corpus developed at PIR was used to evaluate the system for finding phosphorylation papers and extracting phosphorylation objects (kinases, substrates and sites) from abstracts  ...  ACKNOWLEDGEMENTS The project is supported in part by grant U01-HG02712 from the National Institutes of Health, USA.  ... 
doi:10.1093/bioinformatics/bti390 pmid:15814565 fatcat:jii6quw3qjhb3bgwy7sumzo5la

A New Model for Probabilistic Information Retrieval on the Web [chapter]

Gabriel Mateescu
2004 Statistics: A Series of Textbooks and Monographs  
Early web search engines also made little use of information retrieval research, in part because of significant differences in the retrieval environment on the Web, such as higher transaction volume and  ...  Recently, however, academic research has taken root in search engines.  ...  The CEO model shows how this focus could be further extended to user's relevance judgments, whether explicit, or implicit.  ... 
doi:10.1201/9781420030884.ch19 fatcat:7l53ojw4dnde7drrhq7zbq7nxi

A human-centric integrated approach to web information search and sharing

Roman Y Shtykh, Qun Jin
2011 Human-Centric Computing and Information Sciences  
Through our research we make an endeavor to develop a holistic approach from how to harnesses relevance feedback from users in order to estimate their interests, construct user profiles reflecting those  ...  with collaborative contributions and co-evaluations, into Web information search.  ...  Thus, social bookmarking and tagging, as described in [45] , are sui generis mixture of both implicit and explicit relevance feedback.  ... 
doi:10.1186/2192-1962-1-2 fatcat:l355kx24znhotfwqa25pqb2zmi
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