Virtual Goods Recommendations in Virtual Worlds
Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of developm...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/523174 |
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| _version_ | 1832548397128613888 |
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| author | Kuan-Yu Chen Hsiu-Yu Liao Jyun-Hung Chen Duen-Ren Liu |
| author_facet | Kuan-Yu Chen Hsiu-Yu Liao Jyun-Hung Chen Duen-Ren Liu |
| author_sort | Kuan-Yu Chen |
| collection | DOAJ |
| description | Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies’ intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others’ homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users’ buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment’s data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods. |
| format | Article |
| id | doaj-art-63205dc52f6a4b91aa47330856430e3a |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-63205dc52f6a4b91aa47330856430e3a2025-02-03T06:14:08ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/523174523174Virtual Goods Recommendations in Virtual WorldsKuan-Yu Chen0Hsiu-Yu Liao1Jyun-Hung Chen2Duen-Ren Liu3Institute of Information Management, National Chiao Tung University, Hsinchu 30010, TaiwanInstitute of Information Management, National Chiao Tung University, Hsinchu 30010, TaiwanInstitute of Information Management, National Chiao Tung University, Hsinchu 30010, TaiwanInstitute of Information Management, National Chiao Tung University, Hsinchu 30010, TaiwanVirtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies’ intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others’ homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users’ buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment’s data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods.http://dx.doi.org/10.1155/2015/523174 |
| spellingShingle | Kuan-Yu Chen Hsiu-Yu Liao Jyun-Hung Chen Duen-Ren Liu Virtual Goods Recommendations in Virtual Worlds The Scientific World Journal |
| title | Virtual Goods Recommendations in Virtual Worlds |
| title_full | Virtual Goods Recommendations in Virtual Worlds |
| title_fullStr | Virtual Goods Recommendations in Virtual Worlds |
| title_full_unstemmed | Virtual Goods Recommendations in Virtual Worlds |
| title_short | Virtual Goods Recommendations in Virtual Worlds |
| title_sort | virtual goods recommendations in virtual worlds |
| url | http://dx.doi.org/10.1155/2015/523174 |
| work_keys_str_mv | AT kuanyuchen virtualgoodsrecommendationsinvirtualworlds AT hsiuyuliao virtualgoodsrecommendationsinvirtualworlds AT jyunhungchen virtualgoodsrecommendationsinvirtualworlds AT duenrenliu virtualgoodsrecommendationsinvirtualworlds |