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Lightweight Low-Level Query-Centric User Interface Modeling

Filip Kis, Cristian Bogdan
2013 2013 46th Hawaii International Conference on System Sciences  
Our model-driven development approach targets especially highly interactive data intensive applications.  ...  We explore annotation of template user interface with queries, especially embedded queries, to achieve partial generation of user interface with the ability to generate user interface with interaction  ...  model-driven approaches use mostly standard interactive widgets.  ... 
doi:10.1109/hicss.2013.384 dblp:conf/hicss/KisB13 fatcat:igd3xm2myndopcpjgvcuwji7ga

Query interactions in database workloads

Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu
2009 Proceedings of the Second International Workshop on Testing Database Systems - DBTest '09  
To capture and model query interactions, we propose using an experimental approach that is based on sampling the space of possible interactions and fitting statistical models to the sampled data.  ...  Database workloads consist of mixes of queries that run concurrently and interact with each other.  ...  Leveraging Computing Clouds for Experimentation: Our approach to modeling query interactions requires running experiments to sample the space of possible query interactions.  ... 
doi:10.1145/1594156.1594170 dblp:conf/sigmod/AhmadAB09 fatcat:hudy2myfr5edhpayjztsoxlr4q

Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction [article]

Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra
2022 arXiv   pre-print
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP).  ...  In particular, our model leverages information from the semantic interactions between the terms of a query and those in the top-documents retrieved with it.  ...  DEEP-QPP MODEL DESCRIPTION We first describe the working principle of our approach which is based on capturing term-semantics interaction at two levels, first, at the intra-query level of modeling, the  ... 
arXiv:2202.07376v1 fatcat:ws4wt43hjvdk5mpi3b6qtr7uxi

Template-based prediction of protein function

Donald Petrey, T Scott Chen, Lei Deng, Jose Ignacio Garzon, Howook Hwang, Gorka Lasso, Hunjoong Lee, Antonina Silkov, Barry Honig
2015 Current Opinion in Structural Biology  
The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide  ...  We discuss recent approaches for structure-based protein function annotation.  ...  Interaction models are then used to determine whether a query is likely to bind the same or similar ligands.  ... 
doi:10.1016/ pmid:25678152 pmcid:PMC4512936 fatcat:zyzmusdql5hhlflme4lf55r3fy

Integration of User Profile in Search Process according to the Bayesian Approach

Farida Achemoukh, Rachid Ahmed-Ouamer
2018 International Journal of Recent Contributions from Engineering, Science & IT  
The user profile refers to his/her interests built across his/her interactions with the retrieval<br /> system.  ...  Most information retrieval system (IRS) rely on the so called system-centred approach,<br /> behaves as a black box, which produces the same answer to the same query, independently on the<br /> user's  ...  In our approach we integrate the user profile in the matching model by interpreting the query-document-user profile relevance as a belief in a document and in a user profile with respect to a query.  ... 
doi:10.3991/ijes.v6i4.9716 fatcat:iz4y7w5iv5ctpovzylgf6bn35a

An Approach for Weakly-Supervised Deep Information Retrieval [article]

Sean MacAvaney, Kai Hui, Andrew Yates
2017 arXiv   pre-print
By using our approach to train state-of-the-art neural IR models and comparing to established baselines, we find that training data generated by our approach can lead to good results on a benchmark test  ...  In an attempt to fill this gap, we present an approach that---given a weak training set of pseudo-queries, documents, relevance information---filters the data to produce effective positive and negative  ...  In this work, we use the above approach to build an interaction lter for the PACRR [7] model. We leave the design and evaluation of interaction lters for other models for future work.  ... 
arXiv:1707.00189v2 fatcat:rotres2qn5ghxizuj22tsnov6m

Evaluation of Field-Aware Neural Ranking Models for Recipe Search [article]

Kentaro Takiguchi and Mikhail Fain and Niall Twomey and Luis M Vaquero
2021 arXiv   pre-print
Although field-interaction aware models are more elaborate from an architectural basis, they are often more data-efficient in optimisation and are better suited for explainability due to mirrored document  ...  Although this requires the specification of bespoke task-dependent models, encouraging empirical results are beginning to emerge.  ...  There are also model-based approaches that learn query-field interactions such as Neural Ranking Models for Fields (NRM-F) [19] , but fail to distinctly consider field-to-field interactions or account  ... 
arXiv:2105.05710v2 fatcat:kgopmchvgfgibd33by236xk4i4

Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval [article]

Linlong Xu, Baosong Yang, Xiaoyu Lv, Tianchi Bi, Dayiheng Liu, Haibo Zhang
2021 arXiv   pre-print
Interactive and non-interactive model are the two de-facto standard frameworks in vector-based cross-lingual information retrieval (V-CLIR), which embed queries and documents in synchronous and asynchronous  ...  Concretely, we introduce semi-interactive mechanism, which builds our model upon non-interactive architecture but encodes each document together with its associated multilingual queries.  ...  Our model still significantly outperforms non-interactive based approach.  ... 
arXiv:2111.01992v1 fatcat:3guhdhhwlzaj3jfms222ll67rq

Estimate the Total Completion Time of the Workload

Muhammad Amjad, Waqas Ahmad, Zia Ur, Waqar Hussain, Syed Badar, Bilal Ahmed, Usman Ali, M. Abdul, Ammad Khan, M. Umar
2020 International Journal of Advanced Computer Science and Applications  
We would rather measure query interactions of a mix than practiced approach to consider each query separately.  ...  A novel approach as a estimate framework is presented to estimate running time of a workload based on experiment driven modeling coupled with workload simulation.  ...  The model is required for estimating the response time of a query at any time point of its running. In this paper experiment driven approach is used to take into account the query interactions.  ... 
doi:10.14569/ijacsa.2020.0110606 fatcat:2pwtcjyzzrchnhuttvvhrvjsxq

An Interactive Ontology Visualization Approach For The Networked Home Environment

Ilkka Niskanen, Jarmo Kalaoja, Julia Kantorovitch, Toni Piirainen
2007 Zenodo  
With ontologies it is possible to define and store context information, as well as to model different kinds of physical environments.  ...  Several ontology visualization approaches have been developed to enhance the understanding of ontologies.  ...  In the other two approaches, the interaction operations are restricted to navigation and the selection of features to be visualized.  ... 
doi:10.5281/zenodo.1334520 fatcat:5z5i34e42relha47ijbpgq2fki

Interaction-aware prediction of business intelligence workload completion times

Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shivnath Babu
2010 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)  
This paper presents a novel approach for estimating workload completion time based on experiment-driven modeling and simulation of the impact of inter-query interactions.  ...  While planning the execution of report-generation workloads, database administrators often need to know how long different query workloads will take to run.  ...  Our approach to building performance models is to run experiments to collect samples from the space of possible query mixes and fit statistical models to the observed query performance in these samples  ... 
doi:10.1109/icde.2010.5447834 dblp:conf/icde/AhmadDAB10 fatcat:iygbefkoorgtxopfiknxpydkwm

Modeling and exploiting query interactions in database systems

Mumtaz Ahmad, Ashraf Aboulnaga, Shivnath Babu, Kamesh Munagala
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
We present a new approach based on planning experiments and statistical modeling to capture the impact of query interactions.  ...  As a concrete demonstration of the potential of capturing, modeling, and exploiting query interactions, we develop a novel interaction-aware query scheduler that targets report-generation workloads in  ...  In this paper, we propose an entirely different and practical approach to capture and model interactions.  ... 
doi:10.1145/1458082.1458109 dblp:conf/cikm/AhmadABM08 fatcat:24ur2kfd7jdp3kopdqsnn5s3bi

An Interactive Video Retrieval Approach Based on Latent Topics [chapter]

Rubén Fernández-Beltran, Filiberto Pla
2013 Lecture Notes in Computer Science  
Then, this model is adapted to an on-line interactive information retrieval problem and it is applied to a video retrieval framework based on explicit short-term Relevance Feedback (RF) where queries are  ...  In this work, we present an interactive video retrieval approach based on latent topics to cope with the semantic gap in an efficient way.  ...  We are going to model a simplified user interaction scenario (simulation) to evaluate the effectiveness of proposed approach.  ... 
doi:10.1007/978-3-642-41181-6_30 fatcat:mj5gv42wyveyliatxmo2fzmtlq

Predicting completion times of batch query workloads using interaction-aware models and simulation

Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shivnath Babu
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
Interactions among different queries in these mixes need to be modeled, rather than the conventional approach of considering each query separately.  ...  This approach builds performance models using an experimentdriven technique, by sampling the space of possible query mixes and fitting statistical models to the observed performance at these samples.  ...  Sampling and Modeling (Off-line Phase): Query interactions exhibit complex patterns that are hard to model analytically.  ... 
doi:10.1145/1951365.1951419 dblp:conf/edbt/AhmadDAB11 fatcat:u4tytuk5gvcy3hiiawi23ymft4

An Interaction Mining Approach for Classifying User Intent on the Web

Loredana Caruccio, Vincenzo Deufemia, Giuseppe Polese
2015 Proceedings of the 21st International Conference on Distributed Multimedia Systems  
Beyond these methods, in this paper we propose to mine user interaction activities in order to predict the intent of the user during a navigation session.  ...  One of the crucial steps to achieve this is to classify internet queries based on available features, such as contextual information, keywords and their semantic relationships.  ...  The proposed approach extends existing predictive models, by mining interactions between users and web pages during a search session.  ... 
doi:10.18293/dms2015-045 dblp:conf/dms/CaruccioDP15 fatcat:wqoywhgtqvdu3ecslefe2mumw4
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