Socially-Aware Venue Recommendation for Conference Participants

Xia, Feng; Asabere, Nana Yaw; Rodrigues, Joel J. P. C.; Basso, Filippo; Deonauth, Nakema; Wang, Wei

doi:10.1109/uic-atc.2013.81

Cited by 20 publications

(15 citation statements)

References 17 publications

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“…Participation recommendation aims at assisting researchers to participate in talks, discussions and so on. Representative papers like [2], [3] and [4] relies mainly on social network built on co-authorships and citation networks to characterize researchers. Publication recommendation focuses more specifically on the activity of contributing research papers.…”

Section: Related Workmentioning

confidence: 99%

Recommending Publication Venue in Context Using Abstract

Ma¹,

Fang²

2018

dtcse

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Abstract.One of the key steps of composing a scientific work is selecting the most appropriate publication venue. All a researcher can rely on are experiences from previous study or retrieving similar topics provided by publication venues. A reliable submission recommender is thus in great demand. Unlike the existing works with the same endeavor, we propose a topic modeling based recommending system leveraging briefly abstracts which avoids the somehow unappeasable demand of full texts, references, etc. In this paper, we set up a model with carefully estimated parameters for fine-grained representation of the corpus. Combining with several schemes of generating candidate venues, a context filter based on publication dates is included to optimize the results. Our proposal was evaluated and compared with several baselines on a dataset of 23,766 papers of 18,862 authors from 373 venues. Extensive experiments illustrate that our recommending system can product more satisfactory accuracy among other methods while requiring far more less information.

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Section: Related Workmentioning

confidence: 99%

Recommending Publication Venue in Context Using Abstract

Ma¹,

Fang²

2018

dtcse

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“…Resultado semelhante à simulação de conferência do ICWL 2010. Xia et al (2013) apresentam uma solução denominado Social Aware Recommendation of Venues and Environments (SARVE -Recomendação Social Consciente de Locais e Ambientes) para melhorar a participação inteligente em conferências por meio de recomendações em dispositivos móveis. SARVE recomenda locais e ambientes de sessão de apresentação aos participantes, utilizando técnicas de detecção de comunidades.…”

Section: Trabalhos Relacionadosunclassified

“…SARVE utiliza quatro tipos de contexto: localização, tempo, usuário e relações sociais. O contexto localização envolve a detecção do local exato da sessão de apresentação (Xia et al, 2013). Xia et al (2013) utilizam o algoritmo Filtragem Colaborativa baseado no usuário e a correlação de Pearson para identificar a similaridade entre dois usuários (vizinhos mais próximos) envolvendo um usuário apresentador e um usuário participante.…”

Section: Trabalhos Relacionadosunclassified

A Social Recommendation Template for Presentations Sessions for Scientific Events

Tramontin¹,

Sohn²,

Oliveira³

et al. 2018

Anais Do IX Workshop Sobre Aspectos Da Interação Humano-Computador Na Web Social (WAIHCWS 2018)

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Scientific/Academic events promote the meeting of researchers for the dissemination of their work to the scientific community. These events are dynamic, sessions can happen simultaneously, and in this case participants may have difficulty choosing which sessions attend. Recommender Systems can aid the participant in this choice, as they use information from the sessions, participants and information about the participants' social relationships. The goal of this work is to present the proposal of a Model of Social Recommendation for Scientific Events, which can be applicable to any type of scientific event. The model was partially implemented and was applied for the IHC 2017 event, for this, co-authoring relationships were considered. The instantiated model was evaluated through a questionnaire, where we evaluated users' perceptions about the utility of coauthoring indication to recommend sessions.

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“…Consequently, some researchers [3,7,19,50] have recently argued that, in addition to the interest of users, the social characteristics and influence (such as social ties) of users are relevant factors to consider in a recommendation procedure. In a social tie recommendation approach or procedure, the tie strength (often referred as social influence [14,25]) of users or the central domain is a very important factor to cogitate [19].…”

Section: Social Tie Recommendationsmentioning

confidence: 99%

Scholarly paper recommendation based on social awareness and folksonomy

Asabere

Xia

Meng

et al. 2014

International Journal of Parallel, Emergent and Distributed Sys

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The significant proliferation of research papers in both conferences and journals has made it difficult for researchers to easily access relevant scholarly papers for academic learning. This has been a substantial problem for many researchers. Conferences, in comparison with journals, have an aspect of social learning and networking, which leads to personal familiarisation through various interactions among researchers. In this paper, we improve the social awareness of conference participants by proposing a novel folksonomy-based paper recommendation algorithm, called socially aware recommendation of scholarly papers (SARSP). SARSP recommends papers issued by active participants (APs), to other Group Profile Participants at the same conference based on preference similarity of their research interests. In addition, SARSP computes the social ties between an AP and other conference participants to effectively generate social recommendations of scholarly papers. We evaluate our proposed algorithm using a real-world data-set. Our experimental results confirm that SARSP has significant improvement over other existing methods.

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Socially-Aware Venue Recommendation for Conference Participants

Cited by 20 publications

References 17 publications

Recommending Publication Venue in Context Using Abstract

Recommending Publication Venue in Context Using Abstract

A Social Recommendation Template for Presentations Sessions for Scientific Events

Scholarly paper recommendation based on social awareness and folksonomy

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