Visible to the public Mobile powered sub-group detection/formation using taste-based collaborative filtering technique

TitleMobile powered sub-group detection/formation using taste-based collaborative filtering technique
Publication TypeConference Paper
Year of Publication2017
AuthorsKulkarni, S., Sawihalli, A., Ambika, R., Naik, L.
Conference Name2017 Innovations in Power and Advanced Computing Technologies (i-PACT)
KeywordsCollabarative Filtering, collaborative filtering, compositionality, Computer science, debate discussion forum, explicit attitude, Global Positioning System, implicit attitude, MANET, Metrics, Mobile communication, mobile computing, Mobile powered sub-group detection/formation, P2P, privacy, pubcrawl, resilience, Resiliency, Sensors, social media discussion data, Social Mediadata, Social network services, social networking (online), social networking sites, sub-group detection performance, taste-based collaborative filtering technique, taste-based group, Taste-based Similarity MANET, unsupervised approach, wikipedia discussions

Social networking sites such as Flickr, YouTube, Facebook, etc. contain huge amount of user contributed data for a variety of real-world events. We describe an unsupervised approach to the problem of automatically detecting subgroups of people holding similar tastes or either taste. Item or taste tags play an important role in detecting group or subgroup, if two or more persons share the same opinion on the item or taste, they tend to use similar content. We consider the latter to be an implicit attitude. In this paper, we have investigated the impact of implicit and explicit attitude in two genres of social media discussion data, more formal wikipedia discussions and a debate discussion forum that is much more informal. Experimental results strongly suggest that implicit attitude is an important complement for explicit attitudes (expressed via sentiment) and it can improve the sub-group detection performance independent of genre. Here, we have proposed taste-based group, which can enhance the quality of service.

Citation Keykulkarni_mobile_2017