A novel personalized academic venue hybrid recommender

Boukhris, I.; Ayachi, Raouia

doi:10.1109/cinti.2014.7028720

Cited by 25 publications

(10 citation statements)

References 17 publications

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“…To recommend scholarly venues to researchers they compared authors with similar interests in terms of their personal venue ratings (PVRs). A hybrid recommender system [6] is proposed in the field of computer science for upcoming conferences. Their proposal was based on academic venues from co-citers, co-authors and co-affiliated researchers.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Approach for the Recommendation of Scholarly Journals

Abbasi

Abbas

Hammad

et al. 2020

2020 International Conference on Information Science and Communication Technology (ICISCT)

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The increasing number of scholarly journals have made it difficult for authors to select the most suitable journal that publishes their research. Existing search systems that recommend journals for manuscript submission are either based on author's profile, bibliographic data or the copublication network. These approaches are not useful for beginner researchers who have no publication records or for those who are interested in new research domains. The present work proposes a hybrid approach that combines clustering and document similarity for the recommendation of scholarly venues. The proposal was evaluated both objectively and subjectively using domain experts. The results of mean average precision (0.84) and normalized discounted cumulative gain (0.89) shows positive recommendations made by the proposed approach.

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Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Approach for the Recommendation of Scholarly Journals

Abbasi

Abbas

Hammad

et al. 2020

2020 International Conference on Information Science and Communication Technology (ICISCT)

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“…Klamma et al (2009) recommended academic events based on researchers' event participation history, whereas (H. Luong, Huynh, Gauch, Do, & Hoang, 2012; used co-authors' publication history to recommend venues. Boukhris and Ayachi (2014) proposed a hybrid recommender for upcoming conferences related to computer science based on venues from co-authors, co-citers, and co-affiliated researchers. Pham et al (2011) clustered users on social networks and used the number of papers a researcher had published in a venue to derive the researcher's rating for that venue.…”

Section: Related Workmentioning

confidence: 99%

Recommendation of scholarly venues based on dynamic user interests

Alhoori

Furuta

2017

Journal of Informetrics

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The ever-growing number of venues publishing academic work makes it difficult for researchers to identify venues that publish data and research most in line with their scholarly interests. A solution is needed, therefore, whereby researchers can identify information dissemination pathways in order to both access and contribute to an existing body of knowledge.In this study, we present a system to recommend scholarly venues rated in terms of relevance to a given researcher's current scholarly pursuits and interests. We collected our data from an academic social network and modeled researchers' scholarly reading behavior in order to propose a new and adaptive implicit rating technique for venues. We present a way to recommend relevant, specialized scholarly venues using these implicit ratings that can provide quick results, even for new researchers without a publication history and for emerging scholarly venues that do not yet have an impact factor. We performed a large-scale experiment with real data to evaluate the current scholarly recommendation system and showed that our proposed system achieves better results than the baseline. The results provide important up-to-the-minute signals that compared with postpublication usage-based metrics represent a closer reflection of a researcher's interests.

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“…Existing studies on academic event recommender system are focusing more on proposed a technique with exploiting the authors of the published paper in order to find the right academic event to attend (Medvet et al, 2014, Boukhris et al, 2014, Luong et al, 2012, Chen et al, 2015. Also, most of it is for conferences recommendation only instead of overall academic event recommendation (Asabere et al, 2014, Hornick et al, 2012.…”

Section: Introductionmentioning

confidence: 99%

Expert Based Recommendation for Academic Event

Aliska¹,

Shuib²

2018

IJISE

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With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer's recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed.

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A novel personalized academic venue hybrid recommender

Cited by 25 publications

References 17 publications

A Hybrid Approach for the Recommendation of Scholarly Journals

A Hybrid Approach for the Recommendation of Scholarly Journals

Recommendation of scholarly venues based on dynamic user interests

Expert Based Recommendation for Academic Event

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