A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment. Recommender Systems Handbook, pp.299-331, 2011. ,
DOI : 10.1007/978-0-387-85820-3_9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.9478
Understanding choice overload in recommender systems, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.63-70 ,
DOI : 10.1145/1864708.1864724
URL : http://repository.tue.nl/694263
Hybrid Web Recommender Systems, The adaptive web, pp.377-408, 2007. ,
DOI : 10.1007/978-3-540-72079-9_12
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.395.8975
A new approach to evaluating novel recommendations, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.179-186 ,
DOI : 10.1145/1454008.1454038
Looking for ???Good??? Recommendations: A Comparative Evaluation of Recommender Systems, Proc. of the 13 th IFIP TC 13 international conference on Human-computer interaction -Volume Part III (INTERACT'11), pp.152-168 ,
DOI : 10.1007/978-3-642-23765-2_11
Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective, ACM Transactions on Interactive Intelligent Systems, vol.2, issue.2, 2012. ,
DOI : 10.1145/2209310.2209314
Knowledge Bases and User Profiling in Travel and Hospitality Recommender Systems, 2002. ,
DOI : 10.1016/S0160-7383(98)00010-3
recommendation algorithms, ACM Transactions on Information Systems, vol.22, issue.1, pp.143-177, 2004. ,
DOI : 10.1145/963770.963776
Crafting the initial user experience to achieve community goals, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.187-194, 2008. ,
DOI : 10.1145/1454008.1454039
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.3547
On bootstrapping recommender systems, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.1805-1808, 2010. ,
DOI : 10.1145/1871437.1871734
Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?, Journal of Interactive Marketing, vol.18, issue.1, pp.38-52, 2004. ,
DOI : 10.1002/dir.10073
Evaluating collaborative filtering recommender systems, ACM Transactions on Information Systems, vol.22, issue.1, pp.5-53, 2004. ,
DOI : 10.1145/963770.963772
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.8384
Developing a Conversational Travel Advisor with ADVISOR SUITE, Information and Communication Technologies in Tourism, pp.43-52, 2007. ,
DOI : 10.1007/978-3-211-69566-1_5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8297
User technology adoption issues in recommender systems, Proc. of Networking and Electronic Commerce Research Conf. (NAEC '07), pp.379-394, 2007. ,
Recommender systems: from algorithms to user experience, User Modeling and User-Adapted Interaction, vol.21, issue.2, pp.101-123, 2012. ,
DOI : 10.1007/s11257-011-9112-x
Factorization meets the neighborhood, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.426-434, 2008. ,
DOI : 10.1145/1401890.1401944
Finding a needle in a haystack of reviews: cold start context-centric hotel recommender system, Proceedings of the sixth ACM conference on Recommender systems, RecSys '12, pp.115-122, 2012. ,
Content-centric recommender systems: State of the art and trends, pp.73-105, 2011. ,
Adaptive Recommender Systems for Travel Planning, Proceedings of the International Conference on Information Technology and Travel & Tourism, ENTER, pp.1-11, 2008. ,
DOI : 10.1007/978-3-211-77280-5_1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.395.9311
Being accurate is not enough, CHI '06 extended abstracts on Human factors in computing systems, CHI EA '06, pp.1097-1101, 2006. ,
DOI : 10.1145/1125451.1125659
The Impact of Lottery Incentives on Survey Response Rates, Research in Higher Education, pp.389-407, 2003. ,
A user-centric evaluation framework for recommender systems, Proceedings of the fifth ACM conference on Recommender systems, RecSys '11, pp.157-164, 2011. ,
DOI : 10.1145/2043932.2043962
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.451.9923
Learning preferences of new users in recommender systems, ACM SIGKDD Explorations Newsletter, vol.10, issue.2, pp.90-100, 2008. ,
DOI : 10.1145/1540276.1540302
Supporting Travel Decision Making Through Personalized Recommendation, Designing Personalized User Experiences in eCommerce of Human?Computer Interaction Series, pp.231-251, 2004. ,
DOI : 10.1007/1-4020-2148-8_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.6346
Product Reviews in Travel Decision Making, Proc. of the International Conference on Information and Communication Technologies in Tourism, 2006. ,
DOI : 10.1007/3-211-32710-X_41
The influence of online product recommendations on consumers??? online choices, Journal of Retailing, vol.80, issue.2, pp.159-169, 2004. ,
DOI : 10.1016/j.jretai.2004.04.001
Beyond algorithms: An hci perspective on recommender systems, Proceedings of the ACM SIGIR Workshop on Recommender Systems, 2001. ,
Scalable Collaborative Filtering Approaches for Large Recommender Systems, J. Mach. Learn. Res, vol.10, pp.623-656, 2009. ,
Explanations of recommendations, Proceedings of the 2007 ACM conference on Recommender systems , RecSys '07, pp.203-206, 2007. ,
DOI : 10.1145/1297231.1297275
E-commerce and tourism, Communications of the ACM, vol.47, issue.12, pp.101-105, 2004. ,
DOI : 10.1145/1035134.1035141
CompRec-Trip: A composite recommendation system for travel planning, 2011 IEEE 27th International Conference on Data Engineering, pp.1352-1355, 2011. ,
DOI : 10.1109/ICDE.2011.5767954
Novelty and redundancy detection in adaptive filtering, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '02, pp.81-88, 2002. ,
DOI : 10.1145/564376.564393
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.3415
Evaluating Recommender Systems in Tourism ??? A Case Study from Austria, Proceedings of the International Conference on Information Technology and Travel & Tourism, ENTER, pp.24-34, 2008. ,
DOI : 10.1007/978-3-211-77280-5_3
Improving recommendation lists through topic diversification, Proceedings of the 14th international conference on World Wide Web , WWW '05, pp.22-32 ,
DOI : 10.1145/1060745.1060754
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.835