[1]Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-adapted Interaction, 12(4), 331-370.

[2]Burke, R. (2007). Hybrid web recommender systems. In The Adaptive Web (pp. 377-408). Springer Berlin Heidelberg.

[3]Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109-132.

[4]Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook (pp. 1-35). Springer US.

[5]Schall, D. (2015). Social Network-based Recommender Systems. Springer.

[6]Bhatia, S., (2016). "Design and Development of New Application for Mobile Tracking", International Journal of Information Technology and Computer Science (IJITCS), Vol.8, No.11, pp.54-60, 2016. DOI: 10.5815/ijitcs.2016.11.07

[7]Marinho, L. B., Hotho, A., Jäschke, R., Nanopoulos, A., Rendle, S., Schmidt-Thieme, L., & Symeonidis, P. (2012). Recommender systems for social tagging systems. Springer Science & Business Media.

[8]Pu, Q., Lbath, A., & He, D. (2012). Location based recommendation for mobile users using language model and skyline query. International Journal of Information Technology and Computer Science (IJITCS), 4(10), 19.

[9]Schafer, J. B., Konstan, J., & Riedl, J. (1999, November). Recommender systems in e-commerce. In Proceedings of the 1st ACM conference on Electronic commerce (pp. 158-166). ACM.

[10]Jadhav, S.L., Mali, M.P., (2016). "Pre-Recommendation Clustering and Review Based Approach for Collaborative Filtering Based Movie Recommendation", International Journal of Information Technology and Computer Science (IJITCS), Vol.8, No.7, pp.72-80. DOI: 10.5815/ijitcs.2016.07.10

[11]Celma, O. (2010). Music recommendation. In Music Recommendation and Discovery (pp. 43-85). Springer Berlin Heidelberg.

[12]Gil, J. M., Lim, J., & Seo, D. M. (2016). Design and Implementation of MapReduce-Based Book Recommendation System by Analysis of Large-Scale Book-Rental Data. In Advanced Multimedia and Ubiquitous Engineering (pp. 713-719). Springer Singapore.

[13]Bao, J., Zheng, Y., Wilkie, D., & Mokbel, M. (2015). Recommendations in location-based social networks: a survey. Geoinformatica, 19(3), 525-565.

[14]Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction, 12(4), 331-370.

[15]Adomavicius, G., & Tuzhilin, A. (2011). Context-aware recommender systems. In Recommender systems handbook (pp. 217-253). Springer US.

[16]Ricci, F. (2010). Mobile recommender systems. Information Technology & Tourism, 12(3), 205-231.

[17]Felfernig, A., Gordea, S., Jannach, D., Teppan, E., & Zanker, M. (2007). A short survey of recommendation technologies in travel and tourism. OEGAI Journal, 25(7), 17-22.

[18]Bao, J., Zheng, Y., Wilkie, D., & Mokbel, M. F. (2013). A survey on recommendations in location-based social networks. ACM Transaction on Intelligent Systems and Technology.

[19]Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering, 17(6), 734-749.

[20]About, (2016). About Foursquare. Accessed at April 20, 2016 from https://tr.foursquare.com/about

[21]Fan, B. (2015). New Flickr App Offers 360° Photo Experience via Samsung Gear VR Powered By Oculus. Accessed at April 20, 2016 from http://blog.flickr.net/en/2015/12/09/new-flickr-app-offers-360-photo-experience-via-samsung-gear-vr-powered-by-oculus/

[22]Gupta, A., & Singh, K. (2013, August). Location based personalized restaurant recommendation system for mobile environments. In Advances in Computing, Communications and Informatics (ICACCI), International Conference, 507-511. IEEE.

[23]Dhake, B., Lomte, S.S., Auti, R. A., Nagargoje, Y.R., & Patil, B. (2014). LARS: An Efficient and Scalable Location-Aware. International Journal Of Scientific Research And Education, 2(11).

[24]Sarwat, M., Levandoski, J. J., Eldawy, A., & Mokbel, M. F. (2014). LARS*: An efficient and scalable location-aware recommender system. Knowledge and Data Engineering, IEEE Transactions on, 26(6), 1384-1399.

[25]Wang, H., Li, G., & Feng, J. (2014). Group-Based Personalized Location Recommendation on Social Networks. In Web Technologies and Applications, 68-80. Springer International Publishing.

[26]Yin, H., Cui, B., Sun, Y., Hu, Z., & Chen, L. (2014). LCARS: A spatial item recommender system. ACM Transactions on Information Systems (TOIS), 32(3), 11.

[27]Krishna, P. V., Misra, S., Joshi, D., & Obaidat, M. S. (2013, May). Learning automata based sentiment analysis for recommender system on cloud. In Computer, Information and Telecommunication Systems (CITS), International Conference, 1-5. IEEE.

[28]Majid, A., Chen, L., Chen, G., Mirza, H. T., Hussain, I., & Woodward, J. (2013). A context-aware personalized travel recommendation system based on geotagged social media data mining. International Journal of Geographical Information Science, 27(4), 662-684.

[29]Memon, I., Chen, L., Majid, A., Lv, M., Hussain, I., & Chen, G. (2015). Travel recommendation using geo-tagged photos in social media for tourist. Wireless Personal Communications, 80(4), 1347-1362.

[30]Cao, L., Luo, J., Gallagher, A. C., Jin, X., Han, J., & Huang, T. S. (2010, March). A worldwide tourism recommendation system based on geotaggedweb photos. In ICASSP (pp. 2274-2277).

[31]Guo, L., Shao, J., Tan, K.L., & Yang, Y. (2014, July). Wheretogo: Personalized travel recommendation for individuals and groups. In Mobile Data Management, IEEE 15th International Conference, 1, 49-58.

[32]Subramaniyaswamy, V., Vijayakumar, V., Logesh, R., & Indragandhi, V. (2015). Intelligent Travel Recommendation System by Mining Attributes from Community Contributed Photos. Procedia Computer Science, 50, 447-455.

[33]Xu, Z., Chen, L., & Chen, G. (2015). Topic based context-aware travel recommendation method exploiting geotagged photos. Neurocomputing, 155, 99-107.

[34]Park, M. H., Hong, J. H., & Cho, S. B. (2007). Location-based recommendation system using bayesian user’s preference model in mobile devices. In Ubiquitous Intelligence and Computing (pp. 1130-1139). Springer Berlin Heidelberg.

[35]Kuo, M. H., Chen, L. C., & Liang, C. W. (2009). Building and evaluating a location-based service recommendation system with a preference adjustment mechanism. Expert Systems with Applications, 36(2), 3543-3554.

[36]Shimada, K., Uehara, H., & Endo, T. (2014, August). A comparative study of potential-of-interest days on a sightseeing spot recommender. In Advanced Applied Informatics (IIAIAAI), IIAI 3rd International Conference, 555-560.

[37]Shih, D. H., Yen, D. C., Lin, H. C., & Shih, M. H. (2011). An implementation and evaluation of recommender systems for traveling abroad. Expert Systems with Applications, 38(12), 15344-15355.

[38]Aihara, K., Koshiba, H., & Takeda, H. (2011). Behavioral cost-based recommendation model for wanderers in town. In Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments (pp. 271-279). Springer Berlin Heidelberg.

[39]Zheng, Y., Zhang, L., Ma, Z., Xie, X., & Ma, W. Y. (2011). Recommending friends and locations based on individual location history. ACM Transactions on the Web (TWEB), 5(1), 5.

[40]Zheng, V. W., Zheng, Y., Xie, X., & Yang, Q. (2012). Towards mobile intelligence: Learning from GPS history data for collaborative recommendation. Artificial Intelligence, 184, 17-37.

[41]Rodriguez-Carrion, A., Garcia-Rubio, C., Campo, C., Cortés-Martín, A., Garcia-Lozano, E., & Noriega-Vivas, P. (2012). Study of LZ-Based location prediction and its application to transportation recommender systems. Sensors, 12(6), 7496-7517.

[42]Bedi, P., Agarwal, S. K., Sharma, S., & Joshi, H. (2014, September). SAPRS: Situation-Aware Proactive Recommender system with explanations. In Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on (pp. 277-283). IEEE.

[43]Yu, Z., Feng, Y., Xu, H., & Zhou, X. (2014). Recommending travel packages based on mobile crowdsourced data. Communications Magazine, IEEE, 52(8), 56-62.

[44]Sattari, M., Toroslu, I. H., Karagoz, P., Symeonidis, P., & Manolopoulos, Y. (2015). Extended feature combination model for recommendations in location-based mobile services. Knowledge and Information Systems, 44(3), 629-661.

[45]Yin, H., Cui, B., Chen, L., Hu, Z., & Zhang, C. (2015). Modeling location-based user rating profiles for personalized recommendation. ACM Transactions on Knowledge Discovery from Data (TKDD), 9(3), 19.

[46]Mordacchini, M., Passarella, A., Conti, M., Allen, S. M., Chorley, M. J., Colombo, G. B., ... & Whitaker, R. M. (2015). Crowdsourcing through Cognitive Opportunistic Networks. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 10(2), 13.

[47]Saraee, M., Khan, S., & Yamaner, S. (2005). Data mining approach to implement a recommendation system for electronic tour guides. In Proceedings of The 2005 International Conference on E-Business, Enterprise Information Systems, E-Government, and Outsourcing, EEE 2005, Las Vegas, Nevada, USA, June 20-23, 2005 (pp. 215-218). CSREA Press.

[48]Lee, B. H., Kim, H. N., Jung, J. G., & Jo, G. S. (2006, September). Location-based service with context data for a restaurant recommendation. In Database and Expert Systems Applications (pp. 430-438). Springer Berlin Heidelberg.

[49]Horozov, T., Narasimhan, N., & Vasudevan, V. (2006, January). Using location for personalized POI recommendations in mobile environments. In Applications and the Internet, 2006. SAINT 2006. International Symposium on (pp. 6-pp). IEEE.

[50]Huang, C. C., Manh, H. N., & Hwang, T. H. (2013, December). Vehicle trajectory prediction across non-overlapping camera networks. In Connected Vehicles and Expo (ICCVE), 2013 International Conference on (pp. 375-380). IEEE.

[51]Gavalas, D., & Kenteris, M. (2011). A web-based pervasive recommendation system for mobile tourist guides. Personal and Ubiquitous Computing, 15(7), 759-770.

[52]Lu, E. H. C., Ying, J. J. C., Chen, H. S., Lin, K. W., Tseng, V. S., Tsai, H. W., ... & Lin, S. C. (2012, August). Simulation framework for travel trajectory generation and mobile transaction modeling. In Information Security and Intelligence Control (ISIC), 2012 International Conference on (pp. 115-118). IEEE.

[53]Hasegawa, T., & Hayashi, T. (2013, June). Collaborative filtering based spot recommendation seamlessly available in home and away areas. In Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on (pp. 547-548). IEEE.

[54]Takeuchi, Y., & Sugimoto, M. (2006). CityVoyager: an outdoor recommendation system based on user location history. In Ubiquitous intelligence and computing (pp. 625-636). Springer Berlin Heidelberg.

[55]Li, E., Chen, X., Hao, T., & Fu, X. (2013, July). Research on LBS-based Optimizing Personal Recommendation System. In 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013). Atlantis Press.

[56]Barranco, M. J., Noguera, J. M., Castro, J., & Martínez, L. (2012). A context-aware mobile recommender system based on location and trajectory. In Management intelligent systems (pp. 153-162). Springer Berlin Heidelberg.

[57]MARTINEZ, L. (2012). A location-aware tourism recommender system based on mobile devices. In Uncertainty Modeling in Knowledge Engineering and Decision Making: Proceedings of the 10th International FLINS Conference, Istanbul, Turkey, 26-29 August 2012 (Vol. 7, p. 34). World Scientific.

[58]Batet, M., Moreno, A., Sánchez, D., Isern, D., & Valls, A. (2012). Turist@: Agent-based personalised recommendation of tourist activities. Expert Systems with Applications, 39(8), 7319-7329.

[59]Noguera, J. M., Barranco, M. J., Segura, R. J., & Martínez, L. (2012). A mobile 3D-GIS hybrid recommender system for tourism. Information Sciences, 215, 37-52.

[60]Biancalana, C., Gasparetti, F., Micarelli, A., & Sansonetti, G. (2013). An approach to social recommendation for context-aware mobile services. ACM Transactions on Intelligent Systems and Technology (TIST), 4(1), 10.

[61]Knoch, S., Chapko, A., Emrich, A., Werth, D., & Loos, P. (2012, September). A Context-Aware Running Route Recommender Learning from User Histories Using Artificial Neural Networks. In Database and Expert Systems Applications (DEXA), 2012 23rd International Workshop on (pp. 106-110). IEEE.

[62]Tsai, C. Y., & Lai, B. H. (2013, July). A Customized Visiting Route Service under RFID Environment. In Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual (pp. 397-402). IEEE.

[63]Sasaki, W., & Takama, Y. (2013, December). Walking Route Recommender System Considering SAW Criteria. In Technologies and Applications of Artificial Intelligence (TAAI), 2013 Conference on (pp. 246-251). IEEE.

[64]Yawutthi, S., & Natwichai, J. (2014, May). An Efficient Indexing for Top-k Query Answering in Location-Based Recommendation System. In Information Science and Applications (ICISA), International Conference, 1-4.

[65]Umanets, A., Ferreira, A., & Leite, N. (2014). GuideMe–A tourist guide with a recommender system and social interaction. Procedia Technology, 17, 407-414.

[66]Benouaret, I., & Lenne, D. (2015, October). Personalizing the Museum Experience through Context-Aware Recommendations. In Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference (pp. 743-748). 

[67]Wen-ying, Z., & Guo-ming, Q. (2013, July). A new framework of a personalized location-based restaurant recommendation system in mobile application. In Management Science and Engineering (ICMSE), 2013 International Conference on (pp. 166-172). IEEE.

[68]Chu, C. H., & Wu, S. H. (2013, June). A Chinese restaurant recommendation system based on mobile context-aware services. In Mobile Data Management (MDM), 2013 IEEE 14th International Conference on (Vol. 2, pp. 116-118). IEEE.

[69]Meehan, K., Lunney, T., Curran, K., & McCaughey, A. (2013, March). Context-aware intelligent recommendation system for tourism. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on (pp. 328-331). IEEE.

[70]Jiang, S., Qian, X., Shen, J., Fu, Y., & Mei, T. (2015). Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations. Multimedia, 17(6), 907-918.

[71]Tiwari, S., & Kaushik, S. (2014, July). Information enrichment for tourist spot recommender system using location aware crowdsourcing. In Mobile Data Management (MDM), 2014 IEEE 15th International Conference on (Vol. 2, pp. 11-14). IEEE.

[72]Baudisch, P. (1999, May). Joining collaborative and content-based filtering. In Proceedings of the ACM CHI Workshop on Interacting with Recommender Systems (pp. 1-3).

[73]Savage, N. S., Baranski, M., Chavez, N. E., & Höllerer, T. (2012). I’m feeling loco: A location based context aware recommendation system. In Advances in Location-Based Services (pp. 37-54). Springer Berlin Heidelberg.

[74]Schafer, J. B., Frankowski, D., Herlocker, J., & Sen, S. (2007). Collaborative filtering recommender systems. In The adaptive web (pp. 291-324). Springer Berlin Heidelberg.

[75]Ying, J.C., Chen, H. S., Lin, K. W., Lu, E. H.C., Tseng, V.S., Tsai, H.W., & Lin, S. C. (2014). Semantic trajectory-based high utility item recommendation system. Expert Systems with Applications, 41(10), 4762-4776.

[76]Di Bitonto, P., Laterza, M., Roselli, T., & Rossano, V. (2010). Multi-criteria retrieval in cultural heritage recommendation systems. In Knowledge-Based and Intelligent Information and Engineering Systems (pp. 64-73). Springer Berlin Heidelberg.

[77]Kwon, H. J., & Hong, K. S. (2012). Personalized Mobile Social Network System Using Collaborative Filtering. In Computer Applications for Graphics, Grid Computing, and Industrial Environment (pp. 215-221). Springer Berlin Heidelberg.

[78]Riboni, D., & Bettini, C. (2014, March). Differentially-private release of check-in data for venue recommendation. In Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on (pp. 190-198). IEEE.

[79]Kenteris, M., Gavalas, D., & Economou, D. (2011). Mytilene E-guide: a multiplatform mobile application tourist guide exemplar. Multimedia Tools and Applications, 54(2), 241-262.

[80]Arya, A., Ragini, S., Kumar, H., & Abinaya, G. (2012). A text analysis based seamless framework for predicting human personality traits from social networking sites. International Journal of Information Technology and Computer Science (IJITCS), 4(10), 29.