Interest aware PeopleRank: Towards effective social-based opportunistic advertising

Ayyat, Soumaia Al; Harras, Khaled A.; Aly, Sherif G.

doi:10.1109/wcnc.2013.6555291

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…In this section we implement ISC algorithm on mobile devices and the ONE simulator [15] to compare computation time, hop count and delay time of sending advertisements, etc with IPeR algorithm [8]. Mobile devices includes Android emulator and HTC Desire.…”

Section: Experiments Resultsmentioning

confidence: 99%

“…In these research, high computation, storage capacities as well as the full cooperation of forwarding nodes are needed and the performance are not good during increasing number of users. Therefore, [8] propose IPeR, a fully distributed interest aware social-based algorithm to enable soft real-time opportunistic advertisement delivery in mobile networks. The similarity of user interest and advertisement specialization interest is computed and is used to magnify a nodes social rank if a given node and its friends are interested in a given message or advertisement.…”

Section: Introductionmentioning

confidence: 99%

“…But these algorithms exchange context information periodically and produce high network overhead [12]. Thus, IPeR [8], which is a fully distributed interest-aware forwarding algorithm are proposed. IPeR reduced the overall cost and delay by reducing the number of contacted uninterested candidates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Effective Algorithm for Interest Aware Opportunistic Advertising by Mining Social and Consuming Information

Lin

Jiang

Wang

et al. 2014

2014 IEEE 79th Vehicular Technology Conference (VTC Spring)

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Advertisements and coupon forwarding among mobile devices and social platforms become significant in recent years. However, when users are in the crowded places where the network connection is unstable such as shopping malls, forwarding of advertisements to target users in limited time is challenge. Thus, we propose an interest-aware opportunistic advertising by mining social and consuming information system (ISC) and algorithm. In ISC system, we combine social relationship and consuming information to find out the consumers who have similar interest. ISC algorithm adopts the result of ISC system to reduce the delay of broadcasting advertisement and increase the advertisement effect. We also implement and evaluate the performance of ISC system and algorithm on mobile devices and the ONE simulator. Our experiment results show that ISC algorithm is cost effective and intensively magnify the advertising effeteness with many customers under uncertain network and time-limited environments.

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Section: Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%