HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items

Anwaar, Fahad; Iltaf, Naima; Afzal, Hammad; Nawaz, Raheel

doi:10.1016/j.jocs.2018.09.008

Cited by 43 publications

(22 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers can embed information technology with the proposed methodology, for instance, tools could be built for automated calculation of the online disclosure index scores. Similarly, AI and NLP tools could be created for proactive monitoring (and hence regulation) of NGO through semi or fully automated analysis of their website content [55,56].…”

Section: Discussionmentioning

confidence: 99%

NGO online disclosures index in the presence of auxiliary information

et al. 2020

Self Cite

View full text Add to dashboard Cite

This study highlights the need for analysis of online disclosure practices followed by nongovernmental organizations; furthermore, it justifies the crucial role of potential correlates of online disclosure practices followed by non-governmental organizations. We propose a novel index for analyzing the extent of online disclosure of non-governmental organizations (NGO). Using the information stored in an auxiliary variable, we propose a new estimator for gauging the average value of the proposed index. Our approach relies on the use of two factors: imperfect ranked-set sampling procedure to link the auxiliary variable with the study variable, and an NGO disclosure index under simple random sampling that uses information only about the study variable. Relative efficiency of the proposed index is compared with the conventional estimator for the population average under the imperfect ranked-set sampling scheme. Mathematical conditions required for retaining the efficiency of the proposed index, in comparison to the imperfect ranked set sampling estimator, are derived. Numerical scrutiny of the relative efficiency, in response to the input variables, indicates; if the variance of the NGO disclosure index is less than the variance of the estimator under imperfect ranked set sampling, then the proposed index is universally efficient compared to the estimator under imperfect ranked set sampling. If the condition on variances is unmet, even then the proposed estimator remains efficient if majority of the NGO share online data on the auxiliary variable. This work can facilitate nonprofit regulation in the countries where most of the non-governmental organizations maintain their websites.

show abstract

Section: Discussionmentioning

confidence: 99%

NGO online disclosures index in the presence of auxiliary information

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The biggest challenge that researchers face is the classification of RF signals due to the limited amount of data as a huge amount of time is required for data collection. To cope with the small number of observations, we used the autoencoder neural network, which delivers the best classification performance when exposed in such scenarios [27][28][29]. The autoencoder classifier provided the input data at the output, as shown in Figure 6.…”

Section: Autoencoder For Scalogram Classificationmentioning

confidence: 99%

Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication

et al. 2020

View full text Add to dashboard Cite

Nano-scaled structures, wireless sensing, wearable devices, and wireless communications systems are anticipated to support the development of new next-generation technologies in the near future. Exponential rise in future Radio-Frequency (RF) sensing systems have demonstrated its applications in areas such as wearable consumer electronics, remote healthcare monitoring, wireless implants, and smart buildings. In this paper, we propose a novel, non-wearable, device-free, privacy-preserving Wi-Fi imaging-based occupancy detection system for future smart buildings. The proposed system is developed using off-the-shelf non-wearable devices such as Wi-Fi router, network interface card, and an omnidirectional antenna for future body centric communication. The core idea is to detect presence of person along its activities of daily living without deploying a device on person’s body. The Wi-Fi signals received using non-wearable devices are converted into time–frequency scalograms. The occupancy is detected by classifying the scalogram images using an auto-encoder neural network. In addition to occupancy detection, the deep neural network also identifies the activity performed by the occupant. Moreover, a novel encryption algorithm using Chirikov and Intertwining map-based is also proposed to encrypt the scalogram images. This feature enables secure storage of scalogram images in a database for future analysis. The classification accuracy of the proposed scheme is 91.1%.

show abstract

“…In this vein, we plan to extend this work by, on the one hand incorporating more textual and non-textual data [70][71][72][73][74] and, on the other hand, by applying the findings in diverse contexts [75]. Apart from offering direct insights into respective policy considerations, these might then also be the useful in context of natural language processing models [76][77][78][79][80] and optimization techniques [81,82]. Funding: The paper received no external funding.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country

et al. 2020

Self Cite

View full text Add to dashboard Cite

Considering the profound societal change taking place in several developing countries, the objective of this paper is to reflect on work-family conflict (WFC) both as a concept and a social phenomenon. Given that WFC is a concept rooted in academic debate focusing on developments in Western, largely individualistic, societies, this paper reconsiders WFC’s value added as applied in a context of a collectivist society in a developing country. The objective of this paper is thus threefold, i.e., (i) to assess WFC’s applicability in a context of a collectivist society in a developing country, where the position and role of women gradually changes; (ii) to develop a culturally adjusted/sensitive scale to measure the scope of WFC in Pakistan, whereby the latter is treated here as a case study; and (iii) to reflect on the possibility of devising a set of good practices that would allow a smooth inclusion of women in the formal workforce, while at the same time mitigating the scope and scale of WFC. The value added of this paper stems from these three objectives.

show abstract

HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items

Cited by 43 publications

References 29 publications

NGO online disclosures index in the presence of auxiliary information

NGO online disclosures index in the presence of auxiliary information

Privacy-Preserving Non-Wearable Occupancy Monitoring System Exploiting Wi-Fi Imaging for Next-Generation Body Centric Communication

Linking Work-Family Conflict (WFC) and Talent Management: Insights from a Developing Country

Contact Info

Product

Resources

About