HEALTH SOCIAL NETWORK: A RECOMMENDER SYSTEM WITH HETEROGENEOUS INFORMATION NETWORK APPROACH

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MORTAZAVI SEYED SAEED; PARAND FERESHTEH AZADI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: NEW MEDIA STUDIES Year:2018 | Volume:3 | Issue:12 Page(s): 167-206

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Title

HEALTH SOCIAL NETWORK: A RECOMMENDER SYSTEM WITH HETEROGENEOUS INFORMATION NETWORK APPROACH

Author(s)

MORTAZAVI SEYED SAEED | PARAND FERESHTEH AZADI | Issue Writer Certificate

Keywords

HEALTHQ2

RECOMMENDER SYSTEMQ1

HETEROGENEOUS INFORMATION NETWORKQ1

Abstract

HEALTH and HEALTH services are two inseparable parts of one' s life. Each person has had different needs for HEALTH services at least several times during their life cycle and would resolve them with available facilities. Regarding the high popularity of social networks in the last two decades, one of the tools that can provide many opportunities for people in the HEALTH field is social networking. In this research, we introduce a HEALTH social network which focuses on users or patients’ association with doctors and a variety of HEALTH services. In order to improve this network’s performance, we suggest a RECOMMENDER SYSTEM that can offer users a doctor, a special expertise in order to ask medical consultation, or an article, based on their needs. We have used HETEROGENEOUS INFORMATION NETWORKs for modeling the HEALTH social network. These networks cover several types of objects, such as physicians, patients and consultation, and also several types of relationships, such as requesting or answering a consultation. For the recommender model, we use each user’s implicit feedback which they register on the network, according to the methods provided by the HETEROGENEOUS INFORMATION NETWORKs. Bayesian Personalized Ranking is used in recommender model’s learning algorithm. This algorithm is a combination of ranking scores method and the foresaid learning algorithm. In the end, we will show how to use this social network and the RECOMMENDER SYSTEM, by applying the suggested method on our dataset.

Cites

Presentation of the Proposed Model of Health Information Social Network

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APA: Copy

MORTAZAVI, SEYED SAEED, & PARAND, FERESHTEH AZADI. (2018). HEALTH SOCIAL NETWORK: A RECOMMENDER SYSTEM WITH HETEROGENEOUS INFORMATION NETWORK APPROACH. NEW MEDIA STUDIES, 3(12 ), 167-206. SID. https://sid.ir/paper/264688/en

Vancouver: Copy

MORTAZAVI SEYED SAEED, PARAND FERESHTEH AZADI. HEALTH SOCIAL NETWORK: A RECOMMENDER SYSTEM WITH HETEROGENEOUS INFORMATION NETWORK APPROACH. NEW MEDIA STUDIES[Internet]. 2018;3(12 ):167-206. Available from: https://sid.ir/paper/264688/en

IEEE: Copy

SEYED SAEED MORTAZAVI, and FERESHTEH AZADI PARAND, “HEALTH SOCIAL NETWORK: A RECOMMENDER SYSTEM WITH HETEROGENEOUS INFORMATION NETWORK APPROACH,” NEW MEDIA STUDIES, vol. 3, no. 12 , pp. 167–206, 2018, [Online]. Available: https://sid.ir/paper/264688/en

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