Personalized recommendations based on time-weighted overlapping community detection

Feng, Haoyuan; Tian, Jin; Wang, Harry Jiannan; Li, Minqiang

doi:10.1016/j.im.2015.02.004

Cited by 65 publications

(42 citation statements)

References 42 publications

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“…According to the findings in Brown et al (2011), more advanced analysis and customisation are attainable with the use of real-time and wide ranging data streams. Through routing location , social network (Chung et al, 2015), community (Feng et al, 2015), and personalised information (Fan et al, 2006), user preference and behaviour can be detected and predicted, which promotes personalisation in marketing entering a higher level. Another powerful tool in recommendation is word-of-mouth, which is an effective form of advertising.…”

Section: Marketing Strategymentioning

confidence: 99%

A multidisciplinary perspective of big data in management research

Sheng

Amankwah‐Amoah

Wang

2017

International Journal of Production Economics

178

145

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In recent years, big data has emerged as one of the prominent buzzwords in business and management.In spite of the mounting body of research on big data across the social science disciplines, scholars have offered little synthesis on the current state of knowledge. In this paper, we developed an integrated framework to link the multiple streams of research in fields of organisation, operations, marketing, information management and other relevant areas. Our analysis demonstrates how both structured and unstructured big data has been harnessed to inform organisational decisions and improve firm competitiveness. The review also indicates that big data has also unleashed novel challenges in term of security and privacy of personal data. In light of these, the study identifies and outlines the implications and directions for future research.

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Section: Marketing Strategymentioning

confidence: 99%

A multidisciplinary perspective of big data in management research

Sheng

Amankwah‐Amoah

Wang

2017

International Journal of Production Economics

178

145

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“…Many researchers investigated the use of decay function in RSs [11][12][13][14][15][16]. In [17]authors produced a simulated rating by aggregating implicit feedback dataset with time dynamics using the decay function similar.…”

Section: Related Work: -mentioning

confidence: 99%

“…From the literature, we observe that time is mostly used in the media domain [11,[13][14][15][16][17][18]and learning domain [21][22][23][24] [8,19]. But it is rarely used in the e-commerce domain.…”

Section: Related Work: -mentioning

confidence: 99%

Time-Aware Recommender System for E-Commerce Applications

Hassan¹,

Fadel²,

Akkari³

2020

IJAR

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“…Also, some works have incorporated the knowledge obtained from community detection into recommendation models, such as in Deng et al [26], using SVD-based techniques with information obtained from social communities; or Feng et al [29] where the recommendation is performed after time-weighted overlapping communities. Other approaches consider users' social relationships when suggesting personalised recommendations [82].…”

Section: Social Recommendationsmentioning

confidence: 99%

Beyond social graphs: mining patterns underlying social interactions

Baldominos

Calle

Cuadra

2016

Pattern Anal Applic

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This work aims at discovering and extracting relevant patterns underlying social interactions. To do so, some knowledge extracted from Facebook, a social networking site, is formalised by means of an Extended Social Graph, a data structure which goes beyond the original concept of a social graph by also incorporating information on interests. When the Extended Social Graph is built, state-of-the-art techniques are applied over it in order to discover communities. Once these social communities are found, statistical techniques will look for relevant patterns common to each of those, in such a way that each cluster of users is characterised by a set of common features. The resulting knowledge will be used to develop and evaluate a social recommender system, which aims at suggesting users in a social network with possible friends or interests.

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Personalized recommendations based on time-weighted overlapping community detection

Cited by 65 publications

References 42 publications

A multidisciplinary perspective of big data in management research

A multidisciplinary perspective of big data in management research

Time-Aware Recommender System for E-Commerce Applications

Beyond social graphs: mining patterns underlying social interactions

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