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·618· 智能系统学报 第14卷 zhou,China,2010:1709-1711 推荐方法[U.计算机工程,2018,444):218-224 [17]LIU Hailing,LI Junhuai,PENG Jun.A novel recom- ZHAO Haiyan,LUO Jin,CHEN Qingkui.Time and loca- mendation system for the personalized smart tourism tion-aware activity personalized recommendation route:design and implementation[C]//Proceedings of the method[J].Computer engineering,2018,44(4):218-224 14th International Conference on Cognitive Informatics& [30]GAO Huiji,TANG Jiliang,HU Xia,et al.Content-aware Cognitive Computing.Beijing,China,2015:291-296. point of interest recommendation on location-based so- [18]王青.考虑季节情境因素的旅游景点主题模型及应用 cial networks[C //Proceedings of the Twenty-Ninth AAAl 研究D].南京:东南大学,2017. conference on artificial intelligence.Austin,USA,2015: WANG Qing.Research on topic model of tourist attrac- 1721-1727. tion considering seasonal context and its applications[D]. [31]DEBNATH M,TRIPATHI P K,ELMASRI R.Prefer- Nanjing:Southeast University,2017. ence-aware successive POI recommendation with spatial [19)]李雅美,王昌栋.基于标签的个性化旅游推荐[).中国 and temporal influence[C]//Proceedings of the 8th Inter- 科学技术大学学报,2017,47(7):547-555 national Conference on Social Informatics.Bellevue,USA,2016. LI Yamei,WANG Changdong.Tag-based personalized [32]CHEN Xi,ZHOU Liqing.Design and implementation of travel recommendation[J].Journal of University of Sci- an intelligent system for tourist routes recommendation ence and Technology of China,2017,47(7):547-555 based on Hadoop[C]//Proceedings of the 6th IEEE Inter- [20]卢露.基于时间感知的地点推荐算法.计算机工程与 national Conference on Software Engineering and Ser- 科学,2016,38(3590-594 vice Science.Beijing,China,2015:774-778. LULu.A time-aware based location recommendation al- [33]YU Zhiwen,XU Huang,YANG Zhe,et al.Personalized gorithm[J].Computer engineering science,2016,38(3): 590-594」 travel package with multi-point-of-interest recommenda- [21]ZHANG Jiadong,CHOW C Y.TICRec:a probabilistic tion based on crowdsourced user footprints[J].IEEE transactions on human-machine systems,2016,46(1): framework to utilize temporal influence correlations for time-aware location recommendations[J].IEEE transac- 151-158. tions on services computing,2016,9(4):633-646. [34]DIPALI J,PRAGATI S,PRATIK U,et al.Travel pack- [22]RAVI L.VAIRAVASUNDARAM S.A collaborative age recommendation system based on package locations location based travel recommendation system through en- and rating[J].International journal of computer applica- hanced rating prediction for the group of users[J].Compu- tions,2017,179(8):1-3. tational intelligence and neuroscience,2016:1291358. [35]AYATA D,YASLAN Y,KAMASAK M E.Emotion [23]CENAMOR I,DE LA ROSA T,NUNEZ S,et al.Plan- based music recommendation system using wearable ning for tourism routes using social networks[J].Expert physiological sensors[J].IEEE transactions on consumer systems with applications,2017,69:1-9. electronics,2018,64(2):196-203. [24]CHRISTENSEN I.SCHIAFFINO S.ARMENTANO M. 作者简介: Social group recommendation in the tourism domain[J]. Journal of intelligent information systems,2016,47(2): 匡海丽,女,1995年生,硕士研究 209-231. 生,主要研究方向为个性化推荐、人工 [25]潘一腾,何发智,于海平.一种基于信任关系隐含相似 智能。主持桂林电子科技大学研究生 度的社会化推荐算法[J】.计算机学报,2018,41(1): 教育创新计划项目1项。 65-81 PAN Yiteng,HE Fazhi,YU Haiping.Social recommend- ation algorithm using implicit similarity in trust[J]. Chinese journal of computers,2018,41(1):65-81. [26]YAO Lina,SHENG Q Z,WANG Xianzhi,et al.Collab- 常亮,男,1980年生,教授,博士 orative location recommendation by integrating multi-di- 中国计算机学会高级会员,主要研究 mensional contextual information[J].ACM transactions 方向为数据与知识工程、形式化方法 on internet technology,2017,18(3):32. 智能系统。主持国家自然科学基金项 [2]任星怡,宋美娜,宋俊德.基于用户签到行为的兴趣点 目1项,广西自然科学基金项目 推荐.计算机学报,2017,40(1)少28-51. 1项。发表学术论文70余篇,被SCI、 REN Xingyi,SONG Meina,SONG Junde.Point-of-in- EI收录60余篇。 terest recommendation based on the user check-in behavi- or[J].Chinese journal of computers,2017,40(1):28-51. 宾辰忠,男,1979年生,博士研究 [28]MEEHAN K,LUNNEY T,CURRAN K,et al.Aggregat- 生,讲师,主要研究方向为数据挖掘 ing social media data with temporal and environmental 智能推荐。主持广西高校中青年教师 context for recommendation in a mobile tour guide sys- 基础能力提升项目1项。 tem[J].Journal of hospitality and tourism technology, 2016,7(3)281-299. [29]赵海燕,骆金,陈庆奎.时间与位置感知的活动个性化zhou, China, 2010: 1709-1711. LIU Hailing, LI Junhuai, PENG Jun. A novel recom￾mendation system for the personalized smart tourism route: design and implementation[C]//Proceedings of the 14th International Conference on Cognitive Informatics & Cognitive Computing. Beijing, China, 2015: 291-296. [17] 王青. 考虑季节情境因素的旅游景点主题模型及应用 研究 [D]. 南京: 东南大学, 2017. WANG Qing. Research on topic model of tourist attrac￾tion considering seasonal context and its applications[D]. Nanjing: Southeast University, 2017. [18] 李雅美, 王昌栋. 基于标签的个性化旅游推荐 [J]. 中国 科学技术大学学报, 2017, 47(7): 547–555. LI Yamei, WANG Changdong. Tag-based personalized travel recommendation[J]. Journal of University of Sci￾ence and Technology of China, 2017, 47(7): 547–555. [19] 卢露. 基于时间感知的地点推荐算法 [J]. 计算机工程与 科学, 2016, 38(3): 590–594. LU Lu. A time-aware based location recommendation al￾gorithm[J]. Computer engineering & science, 2016, 38(3): 590–594. [20] ZHANG Jiadong, CHOW C Y. TICRec: a probabilistic framework to utilize temporal influence correlations for time-aware location recommendations[J]. IEEE transac￾tions on services computing, 2016, 9(4): 633–646. [21] RAVI L, VAIRAVASUNDARAM S. A collaborative location based travel recommendation system through en￾hanced rating prediction for the group of users[J]. Compu￾tational intelligence and neuroscience, 2016: 1291358. [22] CENAMOR I, DE LA ROSA T, NÚÑEZ S, et al. Plan￾ning for tourism routes using social networks[J]. Expert systems with applications, 2017, 69: 1–9. [23] CHRISTENSEN I, SCHIAFFINO S, ARMENTANO M. Social group recommendation in the tourism domain[J]. Journal of intelligent information systems, 2016, 47(2): 209–231. [24] 潘一腾, 何发智, 于海平. 一种基于信任关系隐含相似 度的社会化推荐算法 [J]. 计算机学报, 2018, 41(1): 65–81. PAN Yiteng, HE Fazhi, YU Haiping. Social recommend￾ation algorithm using implicit similarity in trust[J]. Chinese journal of computers, 2018, 41(1): 65–81. [25] YAO Lina, SHENG Q Z, WANG Xianzhi, et al. Collab￾orative location recommendation by integrating multi-di￾mensional contextual information[J]. ACM transactions on internet technology, 2017, 18(3): 32. [26] 任星怡, 宋美娜, 宋俊德. 基于用户签到行为的兴趣点 推荐 [J]. 计算机学报, 2017, 40(1): 28–51. REN Xingyi, SONG Meina, SONG Junde. Point-of-in￾terest recommendation based on the user check-in behavi￾or[J]. Chinese journal of computers, 2017, 40(1): 28–51. [27] MEEHAN K, LUNNEY T, CURRAN K, et al. Aggregat￾ing social media data with temporal and environmental context for recommendation in a mobile tour guide sys￾tem[J]. Journal of hospitality and tourism technology, 2016, 7(3): 281–299. [28] [29] 赵海燕, 骆金, 陈庆奎. 时间与位置感知的活动个性化 推荐方法 [J]. 计算机工程, 2018, 44(4): 218–224. ZHAO Haiyan, LUO Jin, CHEN Qingkui. Time and loca￾tion-aware activity personalized recommendation method[J]. Computer engineering, 2018, 44(4): 218–224. GAO Huiji, TANG Jiliang, HU Xia, et al. Content-aware point of interest recommendation on location-based so￾cial networks[C]//Proceedings of the Twenty-Ninth AAAI conference on artificial intelligence. Austin, USA, 2015: 1721-1727. [30] DEBNATH M, TRIPATHI P K, ELMASRI R. Prefer￾ence-aware successive POI recommendation with spatial and temporal influence[C]//Proceedings of the 8th Inter￾national Conference on Social Informatics. Bellevue, USA, 2016. [31] CHEN Xi, ZHOU Liqing. Design and implementation of an intelligent system for tourist routes recommendation based on Hadoop[C]//Proceedings of the 6th IEEE Inter￾national Conference on Software Engineering and Ser￾vice Science. Beijing, China, 2015: 774-778. [32] YU Zhiwen, XU Huang, YANG Zhe, et al. Personalized travel package with multi-point-of-interest recommenda￾tion based on crowdsourced user footprints[J]. IEEE transactions on human-machine systems, 2016, 46(1): 151–158. [33] DIPALI J, PRAGATI S, PRATIK U, et al. Travel pack￾age recommendation system based on package locations and rating[J]. International journal of computer applica￾tions, 2017, 179(8): 1–3. [34] AYATA D, YASLAN Y, KAMASAK M E. Emotion based music recommendation system using wearable physiological sensors[J]. IEEE transactions on consumer electronics, 2018, 64(2): 196–203. [35] 作者简介: 匡海丽,女,1995 年生,硕士研究 生,主要研究方向为个性化推荐、人工 智能。主持桂林电子科技大学研究生 教育创新计划项目 1 项。 常亮,男,1980 年生,教授,博士, 中国计算机学会高级会员,主要研究 方向为数据与知识工程、形式化方法、 智能系统。主持国家自然科学基金项 目 1 项,广西自然科学基金项 目 1 项。发表学术论文 70 余篇,被 SCI、 EI 收录 60 余篇。 宾辰忠,男,1979 年生,博士研究 生,讲师,主要研究方向为数据挖掘、 智能推荐。主持广西高校中青年教师 基础能力提升项目 1 项。 ·618· 智 能 系 统 学 报 第 14 卷
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