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- Publisher Website: 10.1016/j.knosys.2017.02.006
- Scopus: eid_2-s2.0-85013213062
- WOS: WOS:000399632500003
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Article: Towards social-aware interesting place finding in social sensing applications
Title | Towards social-aware interesting place finding in social sensing applications |
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Authors | |
Keywords | Crowdsourcing Expectation maximization Interesting place finding Social dependency Social sensing |
Issue Date | 2017 |
Citation | Knowledge-Based Systems, 2017, v. 123, p. 31-40 How to Cite? |
Abstract | This paper develops a principled approach to accurately identify interesting places in a city through social sensing applications. Social sensing has emerged as a new application paradigm, where a crowd of social sources (humans or devices on their behalf) collectively contribute a large amount of observations about the physical world. This paper studies an interesting place finding problem, in which the goal is to correctly identify the interesting places in a city. Important challenges exist in solving this problem: (i) the interestingness of a place is not only related to the number of users who visit it, but also depends upon the travel experience of the visiting users; (ii) the user's social connections could directly affect their visiting behavior and the interestingness judgment of a given place. In this paper, we develop a new Social-aware Interesting Place Finding Plus (SIPF+) approach that addresses the above challenges by explicitly incorporating both the user's travel experience and social relationship into a rigorous analytical framework. The SIPF+ scheme can find interesting places not typically identified by traditional travel websites (e.g., TripAdvisor, Expedia). We compare our solution with state-of-the-art baselines using two real-world datasets collected from location-based social network services and verified the effectiveness of our approach. |
Persistent Identifier | http://hdl.handle.net/10722/308715 |
ISSN | 2023 Impact Factor: 7.2 2023 SCImago Journal Rankings: 2.219 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Chao | - |
dc.contributor.author | Wang, Dong | - |
dc.contributor.author | Mann, Brian | - |
dc.date.accessioned | 2021-12-08T07:49:58Z | - |
dc.date.available | 2021-12-08T07:49:58Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Knowledge-Based Systems, 2017, v. 123, p. 31-40 | - |
dc.identifier.issn | 0950-7051 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308715 | - |
dc.description.abstract | This paper develops a principled approach to accurately identify interesting places in a city through social sensing applications. Social sensing has emerged as a new application paradigm, where a crowd of social sources (humans or devices on their behalf) collectively contribute a large amount of observations about the physical world. This paper studies an interesting place finding problem, in which the goal is to correctly identify the interesting places in a city. Important challenges exist in solving this problem: (i) the interestingness of a place is not only related to the number of users who visit it, but also depends upon the travel experience of the visiting users; (ii) the user's social connections could directly affect their visiting behavior and the interestingness judgment of a given place. In this paper, we develop a new Social-aware Interesting Place Finding Plus (SIPF+) approach that addresses the above challenges by explicitly incorporating both the user's travel experience and social relationship into a rigorous analytical framework. The SIPF+ scheme can find interesting places not typically identified by traditional travel websites (e.g., TripAdvisor, Expedia). We compare our solution with state-of-the-art baselines using two real-world datasets collected from location-based social network services and verified the effectiveness of our approach. | - |
dc.language | eng | - |
dc.relation.ispartof | Knowledge-Based Systems | - |
dc.subject | Crowdsourcing | - |
dc.subject | Expectation maximization | - |
dc.subject | Interesting place finding | - |
dc.subject | Social dependency | - |
dc.subject | Social sensing | - |
dc.title | Towards social-aware interesting place finding in social sensing applications | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.knosys.2017.02.006 | - |
dc.identifier.scopus | eid_2-s2.0-85013213062 | - |
dc.identifier.volume | 123 | - |
dc.identifier.spage | 31 | - |
dc.identifier.epage | 40 | - |
dc.identifier.isi | WOS:000399632500003 | - |