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A Quantum Query Expansion Approach for Session Search
2016
Entropy
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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
2017
Physica A: Statistical Mechanics and its Applications
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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
2016
Physica A: Statistical Mechanics and its Applications
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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]
2011
Lecture Notes in Computer Science
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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
2015
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15
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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
2019
BCS-IRSG Symposium on Future Directions in Information Access
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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]
2020
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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]
2017
arXiv
pre-print
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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]
2020
Lecture Notes in Computer Science
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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
2012
Text Retrieval Conference
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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
2017
Information retrieval (Boston)
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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
2016
Information Technology and Libraries
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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
2016
Text Retrieval Conference
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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
2005
Journal of the American Society for Information Science and Technology
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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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