پیاده سازی سیستم‌های توصیه گر هتلها با استفاده از اولویت‌های کاربران در توییتر

ﺟﻌﻔﺮی، ﺳﯿﺪ ﻣﺤﻤﺪﺑﺎﻗﺮ. ﮐﺮﯾﻤﯽ، آﺻﻒ. اﺑﺮﻗﻮی زاده، زاﻫﺪه. (۱۳۹۵) "ﻋﻮاﻣﻞ ﺗﺄﺛﯿﺮﮔﺬار ﺑﺮ ﺗﻤﺎﯾﻞ ﺑﻪ اداﻣﻪ اﺳﺘﻔﺎده از وب‌سایت شبکه‌های اﺟﺘﻤﺎعی"، ﻓﺼﻠﻨﺎﻣﻪ ﻣﻄﺎﻟﻌﺎت ﻣﺪﯾﺮﯾﺖ ﻓﻨﺎوری اﻃﻼﻋﺎت، پاییز، ﺳﺎل ﭘﻨﺠﻢ، ﺷﻤﺎره 17.

 شیرخدایی، میثم. حسینی، ابوالحسن. ابراهیم زاده گنجی، سیده زینب.(1395)،"تبیین نقش عوامل مؤثر بر اعتماد الکترونیک در وب‌سایت‌های گردشگری"، فصلنامه مطالعات مدیریت گردشگری، پاییز، دوره 11، شماره 34.

Atkin CK, Rice RE, Valdivia, (2012). AN: Advances in public communication campaigns. The International Encyclopedia of Media Studies, Volume 5. Edited by Scharrer E. London, UK: Wiley-Blackwell Publishing; 526–551

Bao, Y., Fang, H., Zhang, J., (2014). TOPICMF: simultaneously exploiting ratings and reviews for recommendation, Proceedings of the 28th AAAI Conference onArtificial Intelligence (AAAI), pp. 2–8.

Basiri J., Shakery A., Moshiri B., Zi Hayat M, (2010). Alleviating the cold-start problem of recommender systems using a new hybrid approach, 5th International Symposium on Telecommunications, IST 2010 Tehran, Iran; pp. 962–967.

Bessho F, Hara20da T, Kuniyoshi Y,( 2012). Dialog system using real-time crowdsourcing and Twitter large-scale corpus, Proceedings of theProceedings ofthe 13th Annual Meeting of the Special Interest Group on Discourse andDialogue;5-6 July 2012. Seoul, South Korea, Stroudsburg, PA: Association for Computational Linguistics; 227–231.

Blanco-Ferna ´ndez, Y., Lo ´pez-Nores, M., Pazos-Arias, J.J., Garcı´a-Duque, J.,(2011).An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles, Engineering Applications of Artificial Intelligence. 24, 1385–1397

Blei DM, Ng AY, Jordan MI: Latent dirichlet allocation. J Mach Learn Res (2003), 3:993–1022

Bobadilla, J., Ortega, F., Hernando, A., GutiéRrez, A.,(2013). Recommender systems survey, Knowledge-Based Systems. 46, 109–132

Brenner J, Smith, (2013), A:72% of online adults are social networking site users. Pew Research Center’s Internet & American Life Project, 1615 L St., N.W., Suite 700, Washington, D.C. 20036.

Champiri Zohreh Dehghani, Seyed Reza Shahamiri,Siti Salwah Binti Salim,(2014). A systematic review of scholar context-aware recommender systems, Expert System with Application, Volume 42, Issue 3, 1743-1758.

Chen He, Denis Parra, Katrien Verbert,(2016).Interactive recommender systems: a survey of the state of the art and future research challenges and opportunities, Expert Systems With Applications,Volume 56, 9-27.

Chen, C., Zheng, X., Wang, Y., Hong, F., Lin, Z., (2014). Context-aware collaborative topic regression with social matrix factorization for recommender systems, Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), pp. 9–15.

Colombo-Mendoza Luis Omar, Rafael Valencia-García, Alejandro Rodríguez-González, Giner Alor-Hernández, José Javier Samper-Zapater, RecomMetz, (2015). A context-aware knowledge-based mobile recommender system for movie showtimes, Expert Systems with Applications, Volume 42, Issue 3, 1202-1222.

Das D,(2013).Evolution, rapid growth & future of research on electronic word of mouth (ewom), a scientific review. Available at Social Science Research Network, papers.ssrn.com. 

Goel, A., Gupta, P., Sirois, J., Wang, D., Sharma, A., Gurumurthy, S.,(2015). The who-to-follow system at twitter: strategy, algorithms, and revenue impact, Interface, 45 (1), 98–107.  

Isabel Cenamor, Tomás de la Rosa, Sergio Núñez, Daniel Borrajo,( 2017). Planning for tourism routes using social networks, Expert Systems with Applications,Volume 69, Pages 1-9.

Li Yung-Ming, Han-Wen Hsiao, Yi-Lin Lee,(2013).Recommending social network applications via social filtering mechanisms, Information Sciences, Volume 239,18-30.

Liu Wenyu, Caihua Wu, Bin Fenga, Juntao Liu,(2014). Conditional Preference in Recommender Systems, Expert Systems with Applications, Volume 42, Issue 2, 774-788.

Liu, X., Aberer, K., (2013). SOCO: A social network aided context-aware recommender system, Proceedings of the 22nd International Conference on World WideWeb (WWW), pp. 781–802.

Lops, P., Gemmis, M., Semeraro, G.,(2011). Content-based recommender systems: state of the art and trends, In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (Eds.), Recommender Systems Handbook. Springer, Boston, MA.

Lu Jie, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang, (2015).Recommender System Application Developments: A Survey, Decision Support Systems, Volume 74,12-32.

Moreno Antonio, Valls Aida, Isern David, Marin Lucas, Borras Joan, (2013). SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities, Engineering Applications of Artificial Intelligence, Volume 26, Issue 1, 633-651.

Ma, H., Zhou, D., Liu, C., Lyu, M.R., King, I.,(2011). Recommender systems with social regularization, Proceedings of the 4th ACM International Conference onWeb Search and Data Mining, pp. 287–296.

Mallet. [http://mallet.cs.umass.edu/]

Pawel Ladyzynski, Przemyslaw Grzegorzewski,(2015).Vague Preferences in Recommender Systems, Expert System with Application, Volume 42, Issue 24, 9402-9411.

Queiroz da Silva Edjalma, Celso G. Camilo-Junior, Luiz Mario L. Pascoal, Thierson C. Rosa, (2016). An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering, Expert Systems with Applications,Volume 53, 204-218.

Rao Kagita Venkateswara, Arun K. Pujari, Vineet Padmanabhan,(2015). Virtual user approach for group recommender systems using precedence relations, Information Sciences, Volume 294, 15-30.

Ravi L., Vairavasundaram S.,(2016).A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users, Hindawi Publishing Corporation Computational Intelligence and Neuroscience.

Ricci, F., Nguyen, Q.N., Averianova, O.,(2009). Exploiting a map-based interface in conversational recommender systems for mobile travelers, Sharda N, editor. Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design: IGI Global, Information Science Reference; pp. 73–93.

Romero, D.M., Kleinberg, J.M.(2010). The directed closure process in hybrid socialinformation networks, with an analysis of link formation on Twitter, Proceedings of the Fourth International Conference on Weblogs and Social Media(ICWSM 2010), Washington, DC, USA.

Rowe, M., Stankovic, M., Alani, H.,(2012). Who will follow whom? Exploiting semantics for link prediction in attention-information networks, The Semantic Web—ISWC 2012, Lecture Notes in Computer Science, vol. 7649. Springer-Verlag, Springer, Berlin, Heidelberg.

Su, X., Khoshgoftaar, T.M.,(2009). A survey of collaborative filtering techniques, Advances in Artificial Intelligence, Volume 2009,p 19.

Sun Zhoubao, Lixin Han, Wenliang Huang, Xueting Wang, Xiaoqin Zeng, Min Wang, Hong Yan,(2015).Recommender systems based on social networks, The Journal of Systems and Software, Volume 99,109-119.

Tang, J., Hu, X., Liu, H.,(2013). Social recommendation: a review. Social Network Analysis and Mining, Volume 3, Issue 4, pp 1113–1133.

Toledo Raciel Yera, Yailé Caballero Mota, Luis Martínez,(2015).Correcting noisy ratings in collaborative recommender systems, Knowledge-Based Systems, Volume 76, 96-108.

Tommasel Antonela, Corbellini Alejandro, Godoy Daniela,  Schiaffino Silvia (2016).Personality-aware followee recommendation algorithms: An empirical analysis, Engineering Applications of Artificial Intelligence, Volume 51, 24-36.

Vaccari Sundermanna Camila, Marcos Aur´elio Domingues, Merley da Silva Conradoa,1, Solange Oliveira Rezende, (2016).Privileged Contextual Information for Context-Aware Recommender Systems, Expert Systems with Applications, Volume 57, 139-158.

Veijalainen Jari, Alexander Semenov, Miika Reinikainen,(2015),User Influence and Follower Metrics in a Large Twitter Dataset, Proceedings of the 11th International Conference on Web Information Systems and Technologies (WEBIST-2015), pages 487-497.

Wang, C., Blei, D.M.,(2011), Collaborative topic modeling for recommending scientific articles, Proceedings of the 17th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (SIGKDD), pp. 448–456.

Wang, H., Chen, B., Li, W.-J.,(2013). Collaborative topic regression with social regularization for tag recommendation, Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pp. 2719–2725.

Wang, H., Li, W.-J.,(2014). Relational collaborative topic regression for recommender systems, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 27, Issue 5,1343 - 1355.

Wei Jian, Jianhua He, Kai Chen, Yi Zhou, Zuoyin Tang, (2016). Collaborative Filtering and Deep Learning Based Recommendation System for Cold Start Items, Expert Systems with Applications, Volume 69, 29-39.

Xu Yueshen, Yin Jianwei,(2015). Collaborative recommendation with user generated content, Engineering Applications of Artificial Intelligence, Volume 45,281-294.

Yang Xiwang, Yang Guo, Yong Liu, Harald Steck,(2014). A survey of collaborative filtering based social recommender systems, Computer Communications, Volume 41,1-10.

Yang, X., Steck, H., Liu, Y.,(2012). Circle-based recommendation in online social networks, Proceedings of the 18th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (SIGKDD), pp. 1267–1275.

ﺟﻌﻔﺮی، ﺳﯿﺪ ﻣﺤﻤﺪﺑﺎﻗﺮ. ﮐﺮﯾﻤﯽ، آﺻﻒ. اﺑﺮﻗﻮی زاده، زاﻫﺪه. (۱۳۹۵) "ﻋﻮاﻣﻞ ﺗﺄﺛﯿﺮﮔﺬار ﺑﺮ ﺗﻤﺎﯾﻞ ﺑﻪ اداﻣﻪ اﺳﺘﻔﺎده از وب‌سایت شبکه‌های اﺟﺘﻤﺎعی"، ﻓﺼﻠﻨﺎﻣﻪ ﻣﻄﺎﻟﻌﺎت ﻣﺪﯾﺮﯾﺖ ﻓﻨﺎوری اﻃﻼﻋﺎت، پاییز، ﺳﺎل ﭘﻨﺠﻢ، ﺷﻤﺎره 17.

 شیرخدایی، میثم. حسینی، ابوالحسن. ابراهیم زاده گنجی، سیده زینب.(1395)،"تبیین نقش عوامل مؤثر بر اعتماد الکترونیک در وب‌سایت‌های گردشگری"، فصلنامه مطالعات مدیریت گردشگری، پاییز، دوره 11، شماره 34.

Atkin CK, Rice RE, Valdivia, (2012). AN: Advances in public communication campaigns. The International Encyclopedia of Media Studies, Volume 5. Edited by Scharrer E. London, UK: Wiley-Blackwell Publishing; 526–551

Bao, Y., Fang, H., Zhang, J., (2014). TOPICMF: simultaneously exploiting ratings and reviews for recommendation, Proceedings of the 28th AAAI Conference onArtificial Intelligence (AAAI), pp. 2–8.

Basiri J., Shakery A., Moshiri B., Zi Hayat M, (2010). Alleviating the cold-start problem of recommender systems using a new hybrid approach, 5th International Symposium on Telecommunications, IST 2010 Tehran, Iran; pp. 962–967.

Bessho F, Hara20da T, Kuniyoshi Y,( 2012). Dialog system using real-time crowdsourcing and Twitter large-scale corpus, Proceedings of theProceedings ofthe 13th Annual Meeting of the Special Interest Group on Discourse andDialogue;5-6 July 2012. Seoul, South Korea, Stroudsburg, PA: Association for Computational Linguistics; 227–231.

Blanco-Ferna ´ndez, Y., Lo ´pez-Nores, M., Pazos-Arias, J.J., Garcı´a-Duque, J.,(2011).An improvement for semantics-based recommender systems grounded on attaching temporal information to ontologies and user profiles, Engineering Applications of Artificial Intelligence. 24, 1385–1397

Blei DM, Ng AY, Jordan MI: Latent dirichlet allocation. J Mach Learn Res (2003), 3:993–1022

Bobadilla, J., Ortega, F., Hernando, A., GutiéRrez, A.,(2013). Recommender systems survey, Knowledge-Based Systems. 46, 109–132

Brenner J, Smith, (2013), A:72% of online adults are social networking site users. Pew Research Center’s Internet & American Life Project, 1615 L St., N.W., Suite 700, Washington, D.C. 20036.

Champiri Zohreh Dehghani, Seyed Reza Shahamiri,Siti Salwah Binti Salim,(2014). A systematic review of scholar context-aware recommender systems, Expert System with Application, Volume 42, Issue 3, 1743-1758.

Chen He, Denis Parra, Katrien Verbert,(2016).Interactive recommender systems: a survey of the state of the art and future research challenges and opportunities, Expert Systems With Applications,Volume 56, 9-27.

Chen, C., Zheng, X., Wang, Y., Hong, F., Lin, Z., (2014). Context-aware collaborative topic regression with social matrix factorization for recommender systems, Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), pp. 9–15.

Colombo-Mendoza Luis Omar, Rafael Valencia-García, Alejandro Rodríguez-González, Giner Alor-Hernández, José Javier Samper-Zapater, RecomMetz, (2015). A context-aware knowledge-based mobile recommender system for movie showtimes, Expert Systems with Applications, Volume 42, Issue 3, 1202-1222.

Das D,(2013).Evolution, rapid growth & future of research on electronic word of mouth (ewom), a scientific review. Available at Social Science Research Network, papers.ssrn.com. 

Goel, A., Gupta, P., Sirois, J., Wang, D., Sharma, A., Gurumurthy, S.,(2015). The who-to-follow system at twitter: strategy, algorithms, and revenue impact, Interface, 45 (1), 98–107.  

Isabel Cenamor, Tomás de la Rosa, Sergio Núñez, Daniel Borrajo,( 2017). Planning for tourism routes using social networks, Expert Systems with Applications,Volume 69, Pages 1-9.

Li Yung-Ming, Han-Wen Hsiao, Yi-Lin Lee,(2013).Recommending social network applications via social filtering mechanisms, Information Sciences, Volume 239,18-30.

Liu Wenyu, Caihua Wu, Bin Fenga, Juntao Liu,(2014). Conditional Preference in Recommender Systems, Expert Systems with Applications, Volume 42, Issue 2, 774-788.

Liu, X., Aberer, K., (2013). SOCO: A social network aided context-aware recommender system, Proceedings of the 22nd International Conference on World WideWeb (WWW), pp. 781–802.

Lops, P., Gemmis, M., Semeraro, G.,(2011). Content-based recommender systems: state of the art and trends, In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (Eds.), Recommender Systems Handbook. Springer, Boston, MA.

Lu Jie, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang, (2015).Recommender System Application Developments: A Survey, Decision Support Systems, Volume 74,12-32.

Moreno Antonio, Valls Aida, Isern David, Marin Lucas, Borras Joan, (2013). SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities, Engineering Applications of Artificial Intelligence, Volume 26, Issue 1, 633-651.

Ma, H., Zhou, D., Liu, C., Lyu, M.R., King, I.,(2011). Recommender systems with social regularization, Proceedings of the 4th ACM International Conference onWeb Search and Data Mining, pp. 287–296.

Mallet. [http://mallet.cs.umass.edu/]

Pawel Ladyzynski, Przemyslaw Grzegorzewski,(2015).Vague Preferences in Recommender Systems, Expert System with Application, Volume 42, Issue 24, 9402-9411.

Queiroz da Silva Edjalma, Celso G. Camilo-Junior, Luiz Mario L. Pascoal, Thierson C. Rosa, (2016). An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering, Expert Systems with Applications,Volume 53, 204-218.

Rao Kagita Venkateswara, Arun K. Pujari, Vineet Padmanabhan,(2015). Virtual user approach for group recommender systems using precedence relations, Information Sciences, Volume 294, 15-30.

Ravi L., Vairavasundaram S.,(2016).A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users, Hindawi Publishing Corporation Computational Intelligence and Neuroscience.

Ricci, F., Nguyen, Q.N., Averianova, O.,(2009). Exploiting a map-based interface in conversational recommender systems for mobile travelers, Sharda N, editor. Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design: IGI Global, Information Science Reference; pp. 73–93.

Romero, D.M., Kleinberg, J.M.(2010). The directed closure process in hybrid socialinformation networks, with an analysis of link formation on Twitter, Proceedings of the Fourth International Conference on Weblogs and Social Media(ICWSM 2010), Washington, DC, USA.

Rowe, M., Stankovic, M., Alani, H.,(2012). Who will follow whom? Exploiting semantics for link prediction in attention-information networks, The Semantic Web—ISWC 2012, Lecture Notes in Computer Science, vol. 7649. Springer-Verlag, Springer, Berlin, Heidelberg.

Su, X., Khoshgoftaar, T.M.,(2009). A survey of collaborative filtering techniques, Advances in Artificial Intelligence, Volume 2009,p 19.

Sun Zhoubao, Lixin Han, Wenliang Huang, Xueting Wang, Xiaoqin Zeng, Min Wang, Hong Yan,(2015).Recommender systems based on social networks, The Journal of Systems and Software, Volume 99,109-119.

Tang, J., Hu, X., Liu, H.,(2013). Social recommendation: a review. Social Network Analysis and Mining, Volume 3, Issue 4, pp 1113–1133.

Toledo Raciel Yera, Yailé Caballero Mota, Luis Martínez,(2015).Correcting noisy ratings in collaborative recommender systems, Knowledge-Based Systems, Volume 76, 96-108.

Tommasel Antonela, Corbellini Alejandro, Godoy Daniela,  Schiaffino Silvia (2016).Personality-aware followee recommendation algorithms: An empirical analysis, Engineering Applications of Artificial Intelligence, Volume 51, 24-36.

Vaccari Sundermanna Camila, Marcos Aur´elio Domingues, Merley da Silva Conradoa,1, Solange Oliveira Rezende, (2016).Privileged Contextual Information for Context-Aware Recommender Systems, Expert Systems with Applications, Volume 57, 139-158.

Veijalainen Jari, Alexander Semenov, Miika Reinikainen,(2015),User Influence and Follower Metrics in a Large Twitter Dataset, Proceedings of the 11th International Conference on Web Information Systems and Technologies (WEBIST-2015), pages 487-497.

Wang, C., Blei, D.M.,(2011), Collaborative topic modeling for recommending scientific articles, Proceedings of the 17th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (SIGKDD), pp. 448–456.

Wang, H., Chen, B., Li, W.-J.,(2013). Collaborative topic regression with social regularization for tag recommendation, Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), pp. 2719–2725.

Wang, H., Li, W.-J.,(2014). Relational collaborative topic regression for recommender systems, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 27, Issue 5,1343 - 1355.

Wei Jian, Jianhua He, Kai Chen, Yi Zhou, Zuoyin Tang, (2016). Collaborative Filtering and Deep Learning Based Recommendation System for Cold Start Items, Expert Systems with Applications, Volume 69, 29-39.

Xu Yueshen, Yin Jianwei,(2015). Collaborative recommendation with user generated content, Engineering Applications of Artificial Intelligence, Volume 45,281-294.

Yang Xiwang, Yang Guo, Yong Liu, Harald Steck,(2014). A survey of collaborative filtering based social recommender systems, Computer Communications, Volume 41,1-10.

Yang, X., Steck, H., Liu, Y.,(2012). Circle-based recommendation in online social networks, Proceedings of the 18th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (SIGKDD), pp. 1267–1275.