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Time-aware topic-based contextualization

Nam Khanh Tran
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
In this PhD proposal, we address three novel research questions: detecting uninterpretable pieces in documents, retrieving contextual information and constructing compact context for the documents, then  ...  The primary sources are temporal document collections, in our case, New York Times Corpus and Twitter based corpora (TREC Tweet2011 or crawled tweet), which need to be contextualized.  ...  Temporal Information Retrieval As mentioned in Section 1, one of our tasks is to retrieve context for some parts of documents with time-aware consideration.  ... 
doi:10.1145/2567948.2567957 dblp:conf/www/Tran14 fatcat:ho6r3rszlrfh7hzjleplrczqha

Context Incorporation in Cultural Path Recommendation Using Topic Modelling

Konstantinos Michalakis, Georgios Alexandridis, George Caridakis, Phivos Mylonas
2019 Italian Research Conference on Digital Library Management Systems  
In this work, a subset of contextual aspects, consisting of the type of visited location and the time the visit occurred, is considered.  ...  More specifically, topic modelling is used to represent the landmarks, where each location is modeled as a distribution of latent topics that eventually describe its characteristics.  ...  The proposed architecture combines content modeling and context-awareness into a unified approach that analyzes user behavior and enhances the recommendation process with the contextual parameters of time  ... 
dblp:conf/ircdl/MichalakisACM19 fatcat:bl32tucyvffqrlvki3at4ggfya

CARS: Workshop on Context-Aware Recommender Systems 2022

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2022 Sixteenth ACM Conference on Recommender Systems  
While a substantial amount of existing research has focused on context-aware recommender systems (CARS), many interesting problems remain under-explored.  ...  Contextual information has been widely recognized as an important modeling dimension in social sciences and in computing.  ...  based on the reinforcement learning policy.  ... 
doi:10.1145/3523227.3547421 fatcat:irc7djlndndyra24fxdwckdhri

Combining Privileged Information to Improve Context-Aware Recommender Systems [article]

Camila V. Sundermann and Marcos A. Domingues and Ricardo M. Marcacini and Solange O. Rezende
2019 arXiv   pre-print
Considering this scenario, in this paper, we propose to use contextual information from topic hierarchies of the items (web pages) to improve the performance of context-aware recommender systems.  ...  The topic hierarchies are constructed by an extension of the LUPI-based Incremental Hierarchical Clustering method that considers three types of information: traditional bag-of-words (technical information  ...  We construct topic hierarchies by using the textual content of the web pages, and use the topics as contextual information in context-aware recommender systems.  ... 
arXiv:1511.02290v3 fatcat:f6ba4lagwzdaldhxxhnoihgloe

Bridging temporal context gaps using time-aware re-contextualization

Andrea Ceroni, Nam Khanh Tran, Nattiya Kanhabua, Claudia Niederée
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
In this paper, we study time-aware re-contextualization, the challenging problem of retrieving concise and complementing information in order to bridge this temporal context gap.  ...  The employed ranking combines relevance, complementarity and time-awareness.  ...  In contrast to those approaches, our work on time-aware recontextualization adds another dimension to the contextualization task, namely time.  ... 
doi:10.1145/2600428.2609526 dblp:conf/sigir/CeroniTKN14 fatcat:cbbrornoxvennkco3baisqdybu

Back to the Past

Nam Khanh Tran, Andrea Ceroni, Nattiya Kanhabua, Claudia Niederée
2015 Proceedings of the Eighth ACM International Conference on Web Search and Data Mining - WSDM '15  
The retrieved context information has to be time-aware, concise (not full Wiki pages) and focused on the coherence of the article topic.  ...  In this paper, we present an approach for time-aware recontextualization, which takes those requirements into account in order to improve reading experience.  ...  Figure 2 : 2 Time-aware re-contextualization approach. Figure 3 : 3 Recall curves of document-based and hook-based methods.  ... 
doi:10.1145/2684822.2685315 dblp:conf/wsdm/TranCKN15 fatcat:os6vzcuairc3deza6d6wbhpayq

A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

Jorge Castro, Raciel Yera, Ahmad A. Alzahrani, Pedro J. Sanchez, Manuel Barranco, Luis Martinez
2019 IEEE Access  
It proposes a novel CA-CB approach that recommends question/answer items by considering context awareness based on topic detection within current trend interest.  ...  INDEX TERMS Content-based recommender system, context-awareness, user profile contextualization, map-reduce, big data. • A suitable way to study status updates, i.e. a userprovided free text, in the QA  ...  In this paper, we propose a novel context-awareness content-based (CA-CB) recommendation approach whose main novelty is the introduction of context awareness based on topic detection within current trend  ... 
doi:10.1109/access.2019.2957881 fatcat:cb7bzwqxjfemllvvwnqdsmzur4

Context-Enriched and Location-Aware Services

MoonBae Song, Goreti Marreiros, Hoon Ko, Jae-Ho Choi
2012 Journal of Computer Networks and Communications  
By compiling these papers, along with various topics in CELAS such as indoor localization, contextualized adaptation, and service/anomaly detection, we hope to enrich our  ...  Professor Marreiros reviews "Context-aware adaptation of component-based systems: an active repository approach" which proposes context-aware adaptation technique for component-based software (CBS) systems  ...  By compiling these papers, along with various topics in CELAS such as indoor localization, contextualized adaptation, and service/anomaly detection, we hope to enrich our  ... 
doi:10.1155/2012/649584 fatcat:lnacwa3advgpdels3s44bxbmtq

A Personalized and Context-Aware News Offer for Mobile Devices [chapter]

Toon De Pessemier, Kris Vanhecke, Luc Martens
2016 Lecture Notes in Business Information Processing  
Context-aware recommendations using time and device type as context data outperform traditional recommendations with an accuracy gain dependent on the contextual situation.  ...  This paper presents a news recommendation service with a content-based algorithm that uses features of a search engine for content processing and indexing, and a collaborative filtering algorithm for serendipity  ...  This shows that the context-aware content-based recommender adjusts the news content to the contextual situation of the tablet.  ... 
doi:10.1007/978-3-319-30996-5_8 fatcat:aconote5yrbdhf4mazdx62c36a

PC-SAN: Pretraining-Based Contextual Self-Attention Model for Topic Essay Generation

2020 KSII Transactions on Internet and Information Systems  
To this end, we propose a pretraining-based contextual self-attention (PC-SAN) model that is built upon the seq2seq framework.  ...  Automatic topic essay generation (TEG) is a controllable text generation task that aims to generate informative, diverse, and topic-consistent essays based on multiple topics.  ...  The contextual information is dynamically updated at each time step, making the decoder aware of the history information and conditioned on the generated target-side context.  ... 
doi:10.3837/tiis.2020.08.001 fatcat:q6hgvlkalnfwvngsszojm2d7tu

An unsupervised approach to modeling personalized contexts of mobile users

Tengfei Bao, Huanhuan Cao, Enhong Chen, Jilei Tian, Hui Xiong
2011 Knowledge and Information Systems  
Then, we exploit topic models to learn personalized contexts in the form of probabilistic distributions of raw context data from the context sessions.  ...  Based this observation, we also extend a multiple-topic-based topic model named Latent Dirichlet Allocation (LDA) [4] for mobile context modeling.  ...  To this end, we also propose a multiple-context-based context model which is extended from a multiple-topic-based topic model named the Latent Dirichlet Allocation (LDA) model [4] .  ... 
doi:10.1007/s10115-011-0417-1 fatcat:tgbpps3ujjdfngnecubagc4toq

An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users

Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, Hui Xiong
2010 2010 IEEE International Conference on Data Mining  
Then, we exploit topic models to learn personalized contexts in the form of probabilistic distributions of raw context data from the context sessions.  ...  Based this observation, we also extend a multiple-topic-based topic model named Latent Dirichlet Allocation (LDA) [4] for mobile context modeling.  ...  To this end, we also propose a multiple-context-based context model which is extended from a multiple-topic-based topic model named the Latent Dirichlet Allocation (LDA) model [4] .  ... 
doi:10.1109/icdm.2010.16 dblp:conf/icdm/BaoCCTX10 fatcat:74sb7q6cqzaw7lx3rcptnyanda

Contextual Diversity and Rule-based Adaptive E-learning System Scheme

Kalla Madhu Sudhana
2015 International Journal of Emerging Technologies in Learning (iJET)  
The traditional e-learning systems provide adaptation based on user preferences only.  ...  Mainly this paper discussed about the basic categories of context in e-learning environment and proposed an architectural overview of ontology driven rule-based adaptive system for obtaining effective  ...  SHORT PAPER CONTEXTUAL DIVERSITY AND RULE-BASED ADAPTIVE E-LEARNING SYSTEM SCHEME A.  ... 
doi:10.3991/ijet.v10i5.4799 fatcat:rqeece6unrh5lc7kik2suitu3e

A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks

Xiaomei Huang, Guoqiong Liao, Naixue Xiong, Athanasios V. Vasilakos, Tianming Lan
2020 Electronics  
In recent years, Event-based social network (EBSN) applications, such as Meetup and DoubanEvent, have received popularity and rapid growth.  ...  We also investigate which contextual factors are considered and how they are represented in the recommendation process.  ...  The authors assumed that users join a group, because of different group topics and they select events based on the group topic or personal consideration of contextual factors, such as content of events  ... 
doi:10.3390/electronics9101583 fatcat:hdapa7y4vfcefcprlngjnjn5ai

Searching in the Context of a Task: A Review of Methods and Tools

Ana Maguitman
2018 CLEI Electronic Journal  
It discusses major difficulties encountered in the research area of context-based information retrieval and presents an overview of tools proposed since the mid-nineties to deal with the problem of context-based  ...  In particular, topical context can be exploited to identify the subject of the information needs, contributing to reduce the information overload problem.  ...  during a certain amount of time using a context-based search method under evaluation.  ... 
doi:10.19153/cleiej.21.1.1 fatcat:eteqn6owzbbexmvo6sqfkcqywu
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