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A Quantum Query Expansion Approach for Session Search

Peng Zhang, Jingfei Li, Benyou Wang, Xiaozhao Zhao, Dawei Song, Yuexian Hou, Massimo Melucci
2016 Entropy  
We then apply the new quantum query expansion model to session search, which is a typical Web search task.  ...  Among them, a typical one is applying the idea of photon polarization in IR tasks, e.g., for document ranking and query expansion.  ...  Based on this postulation, we built a novel Quantum interference based Query Expansion (QQE) model, and implemented this quantum query expansion model in the session search task.  ... 
doi:10.3390/e18040146 fatcat:rkj3yot5i5b6jgianshipmsaxe

A quasi-current representation for information needs inspired by Two-State Vector Formalism

Panpan Wang, Yuexian Hou, Jingfei Li, Yazhou Zhang, Dawei Song, Wenjie Li
2017 Physica A: Statistical Mechanics and its Applications  
The current query and the previous query in a search session are applied to construct a quasi-current representation for users' information needs. 3.  ...  Abstract Recently, a number of quantum theory (QT)-based information retrieval (IR) models have been proposed for modeling session search task that users issue queries continuously in order to describe  ...  RM-HS, a query expansion approach, in which pseudo feedback documents are replaced by historical queries and clicked snippets [8] . 5 . 5 QQE, a quantum-based IR model with quantum entanglement (QE)  ... 
doi:10.1016/j.physa.2017.04.145 fatcat:vyesl5wlore3rgiaaiyufp5opy

An adaptive contextual quantum language model

Jingfei Li, Peng Zhang, Dawei Song, Yuexian Hou
2016 Physica A: Statistical Mechanics and its Applications  
To tackle these issues, motivated by the recent Quantum Language Model (QLM), we develop a QLM based retrieval model for session search, which naturally incorporates the complex term dependencies occurring  ...  Furthermore, the ranking function for a Highlights  ...  In rest of this section, we first introduce a contextual query QLM for session search, followed by an adaptive session QLM.  ... 
doi:10.1016/j.physa.2016.03.003 fatcat:jkk5rmfpkfdtpol2kqfr7msw4e

Processing Queries in Session in a Quantum-Inspired IR Framework [chapter]

Ingo Frommholz, Benjamin Piwowarski, Mounia Lalmas, Keith van Rijsbergen
2011 Lecture Notes in Computer Science  
In a search session, users tend to reformulate their queries, for instance because they want to generalise or specify them, or because they are undergoing a drift in their information need.  ...  In this poster, we propose an approach inspired by quantum mechanics to represent queries and their reformulations as density operators.  ...  Processing Queries in Session We illustrate the approach for the simple case of two queries, a query q and a consecutive query q , although it can potentially be extended to a session of more than 2 queries  ... 
doi:10.1007/978-3-642-20161-5_86 fatcat:h6jpxm7zmbcl7ikc4qporemrye

Modeling Multi-query Retrieval Tasks Using Density Matrix Transformation

Qiuchi Li, Jingfei Li, Peng Zhang, Dawei Song
2015 Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15  
In this paper, we propose a Session-based Quantum Language Model (SQLM) that deals with multi-query session search task.  ...  In QLM, a density matrix, defined on the quantum probabilistic space, is estimated as a representation of user's search intention with respect to a specific query.  ...  Therefore, it is safe and reasonable to conclude that the proposed Session-based Quantum Language Model(SQLM) is a feasible expansion of classical Quantum Language Model(QLM) on the multi-query session  ... 
doi:10.1145/2766462.2767819 dblp:conf/sigir/LiLZS15 fatcat:ywllvyvkubgy3nmkfp6as2qucq

Probabilistic Modeling of Vague Conditions in Interactive Product Search

Alfred Sliwa
2019 BCS-IRSG Symposium on Future Directions in Information Access  
Today's e-commerce platforms provide a huge amount of products attached with a rich set of properties.  ...  In this work, we present the obvious search problems with vague conditions and potential research questions w.r.t product search.  ...  A user searches for a laptop with 16 display size and a SSD with 256 GB for a low price.  ... 
dblp:conf/fdia/Sliwa19 fatcat:h5hocg7ctrbmtm2s3ltwlm7gly

Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach [article]

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
2020 arXiv   pre-print
However, an information forager, in general, accompanies a piece of information (information diet) while searching (or foraging) alternative contents, typically subject to decisive uncertainty.  ...  Such types of uncertainty are analogous to measurements in quantum mechanics which follow the uncertainty principle. In this paper, we discuss information seeking as a reinforcement learning task.  ...  Acknowledgements This work is part of the Quantum Access and Retrieval Theory (QUARTZ) project, which has received funding from the European Union's Horizon 2020 research and innovation programme under  ... 
arXiv:2008.02372v1 fatcat:yyw6ria3fjcrljphlf76cbrn7q

A Survey of Quantum Theory Inspired Approaches to Information Retrieval [article]

Sagar Uprety and Dimitris Gkoumas and Dawei Song
2020 arXiv   pre-print
Although Quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results.  ...  Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework.  ...  The authors are hopeful that this literature survey is able to provide a clear picture of the quantum-inspired IR field and set a road-map for researchers to take this field forward.  ... 
arXiv:2007.04357v1 fatcat:uc6mi6mlizfivk2v3reb474s4q

Neural Information Retrieval: A Literature Review [article]

Ye Zhang, Md Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen (+3 others)
2017 arXiv   pre-print
Stemming from this tide of NN work, a number of researchers have recently begun to investigate NN approaches to Information Retrieval (IR).  ...  A recent "third wave" of Neural Network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing  ...  Sordoni et al. (2014) propose a supervised Quantum Entropy Minimization (QEM) approach for finding semantic representation of concepts, such as words or phrases, for query expansion.  ... 
arXiv:1611.06792v3 fatcat:i2eqfj5l25epjcytgvifta4y4i

Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion [chapter]

Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
2020 Lecture Notes in Computer Science  
Query Auto-completion (QAC) is a prominently used feature in search engines, where user interaction with such explicit feature is facilitated by the possible automatic suggestion of queries based on a  ...  In this work, we devise a new task of QAC applied on an image for estimating patch (one of the key components of Information Foraging Theory) probabilities for query suggestion.  ...  grant agreement No. 721321, and partially supported for computing resources by Google Cloud grant.  ... 
doi:10.1007/978-3-030-45439-5_44 fatcat:xuosg2535bglpbnmi6zgoyohty

CWI at TREC 2012, KBA Track and Session Track

Samur Araújo, Gebrekirstos G. Gebremeskel, Jiyin He, Corrado Boscarino, Arjen P. de Vries
2012 Text Retrieval Conference  
The goal of the Session track submission is to evaluate whether and how a logic framework for representing user interactions with an IR system can be used for improving the approximation of the relevant  ...  Our supervised approach models include language models and a string-learning system. Our unsupervised approaches include using: 1)DBpedia labels and 2) Google-Cross-Lingual Dictionary (GCLD).  ...  during a search session.  ... 
dblp:conf/trec/AraujoGHBV12 fatcat:xd4ruo7tbzf3lptz7x3jdhcbou

Neural information retrieval: at the end of the early years

Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner (+7 others)
2017 Information retrieval (Boston)  
Recent years have witnessed an explosive growth of research into NN-based approaches to information retrieval (IR). A significant body of work has now been created.  ...  A recent "third wave" of neural network (NN) approaches now delivers state-ofthe-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing  ...  We would also like to thank our anonymous reviewers for their constructive comments and the guest editors for their advice.  ... 
doi:10.1007/s10791-017-9321-y fatcat:plrhhwkppjgb7l5r5daiyryj4q

Library Discovery Products: Discovering User Expectations through Failure Analysis

Irina Trapido
2016 Information Technology and Libraries  
Our findings indicate that users still experience difficulties conducting author and subject searches, could benefit from enhanced support for browsing, and expect their overall search experience to be  ...  This study looks at user interactions within SearchWorks, a discovery system developed by Stanford University Libraries, with an emphasis on identifying and analyzing problematic and failed searches.  ...  Abbreviations were also used in searches for journals, conference proceedings, and occasionally even for book titles (e.g., "AI: a modern approach" instead of "Artificial intelligence: a modern approach  ... 
doi:10.6017/ital.v35i3.9190 fatcat:kzb7igkwizb4pibauldlgmbyfa

TREC 2016 Dynamic Domain Track Overview

Grace Hui Yang, Ian Soboroff
2016 Text Retrieval Conference  
A topic (which is like a query) contains a few words. It is the main search target for the dynamic search process.  ...  The first point is that the search system is supposed to stop search sessions when sufficient information regarding all subtopics of a query is presented to the user.  ... 
dblp:conf/trec/YangS16 fatcat:yy3nu3lrivavpgb23xmsutjf34

The effects of expertise and feedback on search term selection and subsequent learning

Helene A. Hembrooke, Laura A. Granka, Geraldine K. Gay, Elizabeth D. Liddy
2005 Journal of the American Society for Information Science and Technology  
Query formation and expansion is an integral part of nearly every effort to search for information.  ...  The results are considered from both a theoretical and design perspective, and have direct implications for digital library usability and metadata generation, and query expansion systems.  ...  Acknowledgments The authors are grateful to Liz Liddy and the Center for Natural Language Processing at Syracuse University for their helpful comments.  ... 
doi:10.1002/asi.20180 fatcat:jbpuaefykbay7b6xbcqalet6xi
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