Cited By
View all- Wen XWang JYang X(2023)Dynamic negative sampling for recommendation with feature matchingMultimedia Tools and Applications10.1007/s11042-023-17521-083:16(49749-49766)Online publication date: 4-Nov-2023
Evaluating the Effectiveness of A Suggested Architecture for The Real-Time Social Recommendation System
Pages 145 - 151
Abstract
With the growth of social media and online network sites, a large number of textual data are continuously generated every day, however, it is a challenging subject to detect, describe and analyze those unstructured and semi-structured textual data since it has the characteristics of interactivity, sociality, and real-time means. Consequently, researchers have proposed several data mining methods that are used for building effective social recommendation systems to enhance user commercial and social activities. In this paper, we evaluated the performance of our developed real-time social recommendation system called ChatWithRec that aims to analyze the user's contextual conversation dynamically, detect the topic, and then match it with a suitable advertisement to increase the accuracy of recommendations. In our evaluation, we utilized a set of textual datasets to test the conversational analysis segment by using a modified Latent Dirichlet Allocation topic modeling method. Besides, we involved Google's Mobile ad network and an adjusted advertisement database (considering only some fields which are, food and travel subjects including booking hotels and flight adverts) as a task-related output action to collect qualitative data and defining the user's behaviors within-subjects' interaction with our system. The results are encouraging and indicate that the system is fast, satisfy users by getting what they seek without interrupting their conversation flow.
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Recommendations
Toward A Real-Time Social Recommendation System
MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystemsRecent research has investigated approaches and models to produce optimal results in social recommendation systems (SRSs) particularly in text-based form. The aim is to analyze the user generated-content (UGC) to suggest appropriate recommendations to ...
Incorporating reliable virtual ratings into social recommendation systems
Social recommendation systems use social relations (such as trust, friendship, etc.) among users to find preferences and provide relevant suggestions to users. Historical ratings of items provided by the users are also used to predict unseen items in ...
Cross domain recommendation based on multi-type media fusion
AbstractDue to the scarcity of user interest information in the target domain, recommender systems generally suffer from the sparsity problem. To alleviate this limitation, one natural way is to transfer user interests in other domains to the target ...
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January 2021
251 pages
ISBN:9781450388955
DOI:10.1145/3451471
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Published: 13 July 2021
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ICSIM 2021
ICSIM 2021: 2021 The 4th International Conference on Software Engineering and Information Management
January 16 - 18, 2021
Yokohama, Japan
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View all- Wen XWang JYang X(2023)Dynamic negative sampling for recommendation with feature matchingMultimedia Tools and Applications10.1007/s11042-023-17521-083:16(49749-49766)Online publication date: 4-Nov-2023
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