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Context-aware query classification
2009
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09
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In this paper, we incorporate context information into the problem of query classification by using conditional random field (CRF) models. ...
Understanding users' search intent expressed through their search queries is crucial to Web search and online advertisement. Web query classification (QC) has been widely studied for this purpose. ...
Problem Statement (Context-aware query classification). ...
doi:10.1145/1571941.1571945
dblp:conf/sigir/CaoHSJSCY09
fatcat:5lylbtw5ujfqdes5qnwdtp5an4
Context aware query classification using dynamic query window and relationship net
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
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The context of the user queries, preceding a given query, is utilized to improve the effectiveness of query classification. ...
Earlier efforts utilize all preceding queries in the query window to derive such context information. ...
H., Shen, D., Jiang, D., Sun, J., Chen, E., and Yang, Q., Context-aware query classification. SIGIR, 2009 [2] Lafferty, J. D., McCallum, A., and Pereira, F. ...
doi:10.1145/1835449.1835584
dblp:conf/sigir/GoharianM10
fatcat:smagu5lkxndj3l6e7dmw75qaqq
Improving context-aware query classification via adaptive self-training
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
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On the other hand, search contexts embedded in query sessions and unlabeled queries free on the web have not been fully utilized in most query classification systems. ...
In this work, we leverage these information to improve query classification accuracy. We first incorporate search contexts into our framework using a Conditional Random Field (CRF) model. ...
Motivated by these observations, we propose to build a semi-supervised context-aware query classification framework that takes advantage of both search contexts and unlabeled query sessions to improve ...
doi:10.1145/2063576.2063598
dblp:conf/cikm/ChenSNC11
fatcat:6yvgsjbxcbf57jbkml4eq43ary
Context-aware semantic classification of search queries for browsing community question–answering archives
2016
Knowledge-Based Systems
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Our results confirm what was often only intuitively assumed, namely, that larger contexts actually help to detect semantic relations implicitly expressed in sequences of queries submitted by users during ...
, which provides an explicit mapping between search queries and these questions. ...
Our results confirm what was often only intuitively assumed, namely, that larger contexts actually help to detect semantic relations implicitly expressed in sequences of queries submitted by users during ...
doi:10.1016/j.knosys.2016.01.008
fatcat:pz3sqfaudjg35l564h7xjbgbju
SQR
2010
Proceedings of the third workshop on Exploiting semantic annotations in information retrieval - ESAIR '10
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The interpretations range from the traditional bag-of-words interpretation to more context-and semantic-aware interpretations. ...
We introduce a query rating scheme that identifies the possible interpretations which can be assigned to a semantic query. ...
[4] , with more terms, classifications and relationships. However, each retrieval system or retrieval process need not necessarily be aware of the semantic knowledge contained in each query. ...
doi:10.1145/1871962.1871976
dblp:conf/cikm/AzzamR10
fatcat:k56st3vmtjhdhl5nnb4vcme3zu
A Context-Aware Multi-Agent System for Building Intelligent Services by the Classification of Rule and Ontology in a Smart Home
2007
32nd IEEE Conference on Local Computer Networks (LCN 2007)
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We also present a Context-Aware Multi-Agent System (CAMAS) architecture which provides the solution of policy problem using the classification of rule and implementation of a rule-based engine. ...
This paper proposes a context model which separates the upper and lower layer according to characteristic of each class using the Web Ontology Language (OWL). ...
Fig. 1 . 1 Ontology-based Context Model with our Context-Aware Multi-Agent System(CAMAS) between classes, classification of domain and environmental information. ...
doi:10.1109/lcn.2007.28
dblp:conf/lcn/UhmHLKKP07
fatcat:bzj5a7anhbejbgk36746w43at4
Context-Aware Data Mining Framework for Wireless Medical Application
[chapter]
2003
Lecture Notes in Computer Science
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This paper proposes a Context-aware data mining framework, by which contexts will be automatically captured to maximize the adaptive capacity of data mining. ...
A Context-aware data mining framework is quantified through a partial implementation that would be used to test the behavior of the mining system under varied context factors. ...
Context-Aware Data Mining Framework Context-aware Process Component handles context factors for Data mining and Query processor components. ...
doi:10.1007/978-3-540-45227-0_38
fatcat:bnu3ugqs3vbdbhafom5znsb4py
Sorting the wheat from the chaff: Adaptive sensor selection for context-aware applications
2010
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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Context-aware applications base their services on contextual information that can be queried from the sensors embedded in the environment. ...
, and on the other hand may yield loads of unnecessary information that should be processed by the context-aware application. ...
Obviously, context-aware applications need basically to collect contextual information by querying sensors embedded in the environment (e.g. ...
doi:10.1109/percomw.2010.5470608
dblp:conf/percom/ZaidSMRKS10
fatcat:2v4mkdn64rbeleqehc74tv35pm
Context-Aware Online Commercial Intention Detection
[chapter]
2009
Lecture Notes in Computer Science
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The intentions can even be different for the same user, when the query is issued in different contexts. ...
In this paper, we present a new algorithm framework based on skip-chain conditional random field (SCCRF) for automatically classifying Web queries according to context-based online commercial intention ...
One paper that is particularly related to this work is context-aware query classification [3] . ...
doi:10.1007/978-3-642-05224-8_12
fatcat:5kn7yth5hnguzdzt2uymlqtu4i
Promoting Efficiency and Separation of Concerns through a Hybrid Model Based on Ontologies for Context-Aware Computing
2007
Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07)
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Several context-aware systems have adopted ontologies as the approach to model context information. CoBrA [1] is a well-known example of such context-aware systems, ...
This paper presents a hybrid context model for the MoCA, a middleware for developing and deploying context-aware collaborative applications for mobile users. ...
An ontology query language does not work to query context information, because context instances are maintained only on MoCA's model. ...
doi:10.1109/percomw.2007.97
dblp:conf/percom/RochaCE07
fatcat:rgrrwsyppnfipg5aaeq6i6caum
Context-Based Data Mining Using Ontologies
[chapter]
2003
Lecture Notes in Computer Science
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This paper proposes a context-aware data mining framework, where context will (1) be represented in ontology, (2) be automatically captured during data mining process (3) allow the adaptive behavior to ...
Real-world applications of data mining require a dynamic and resilient model that is aware of a wide variety of diverse and unpredictable contexts. ...
The application is now context-aware so it knows that part of the query the Sex variable is actually a context input. ...
doi:10.1007/978-3-540-39648-2_32
fatcat:gczphkuo25elxhwtowqryfboqm
Task-aware query recommendation
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
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We analyze the effects on query recommendation performance of using contexts consisting of only on-task queries, only off-task queries, and a mix of the two. ...
We focus on two important classes of queries that make up search contexts: those that address the same information need as the reference query (on-task queries), and those that do not (off-task queries ...
While previous work has considered task-aware query recommendation over logged user data, we are not aware of any work that systematically explores the effects of on-task, off-task, and mixed contexts ...
doi:10.1145/2484028.2484069
dblp:conf/sigir/FeildA13
fatcat:psb43btm5nbqvmxg4lopkqbuzm
Context Aware Image Annotation in Active Learning
[article]
2020
arXiv
pre-print
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We propose a Context Aware Image Annotation Framework (CAIAF) that uses image metadata as similarity metric to cluster images into groups for annotation. ...
We also present useful metadata information as context for each image on the annotation interface. ...
The context of additional unannotated images disambiguates the visual classification task [11] . To address the above issues, we proposed a Context Aware Image Annotation Framework (CAIAF) [34] . ...
arXiv:2002.02775v1
fatcat:iqtkvbqzerhmrevdyou3vc3quy
Type-aware Convolutional Neural Networks for Slot Filling
2019
The Journal of Artificial Intelligence Research
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We propose type-aware convolutional neural networks to benefit from the mutual dependencies between entity and relation classification. ...
The slot filling task aims at extracting answers for queries about entities from text, such as "Who founded Apple". ...
context. ...
doi:10.1613/jair.1.11725
fatcat:yjalhe74a5bm3ea7pg5lfwvyre
Hapori
2010
Proceedings of the 12th ACM international conference on Ubiquitous computing - Ubicomp '10
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-Behavioral Models of Users • Goal: Identify relevant POI based on rich context information • Design, Implementation and Evaluation Location Aware Searching • Prevalent in most mobile searching applications ...
. • Works well with a narrow range of queries. • Does not take user preferences into account. ...
Basis for Similarity Features• Time of query and day of the week • Source location of query • POI Category • A distance metric learner • Maximizes k-nearest neighbor classification performance Evaluation ...
doi:10.1145/1864349.1864366
dblp:conf/huc/LaneLZC10
fatcat:wggzwnfbmva5lmb3inmjh35uha
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