The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
Cited By
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- Huang Y, Cui B, Zhang W, Jiang J and Xu Y TencentRec Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, (227-238)
- Rodrigues R, da Silva C, Durao F, Assad R, Garcia V and Meira S A File Recommendation Model For Cloud Storage Systems Proceedings of the annual conference on Brazilian Symposium on Information Systems: Information Systems: A Computer Socio-Technical Perspective - Volume 1, (111-118)
- Zhang F, Yuan N, Wilkie D, Zheng Y and Xie X (2015). Sensing the Pulse of Urban Refueling Behavior, ACM Transactions on Intelligent Systems and Technology, 6:3, (1-23), Online publication date: 20-May-2015.
- Ge M, Elahi M, Fernaández-Tobías I, Ricci F and Massimo D Using Tags and Latent Factors in a Food Recommender System Proceedings of the 5th International Conference on Digital Health 2015, (105-112)
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- Zhang Y, Zhang M, Zhang Y, Lai G, Liu Y, Zhang H and Ma S Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis Proceedings of the 24th International Conference on World Wide Web, (1373-1383)
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- Loepp B, Herrmanny K and Ziegler J Blended Recommending Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, (975-984)
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- Javari A and Jalili M (2014). Accurate and Novel Recommendations, ACM Transactions on Intelligent Systems and Technology, 5:4, (1-20), Online publication date: 23-Jan-2015.
- Ali I and Kim S Group recommendations Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, (1-6)
- Costa-Dasilva J, Gómez-Rodríguez A, González-Moreno J and Ramos-Valcárcel D (2015). A located and user personalized event's dissemination platform, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 28:1, (71-81), Online publication date: 1-Jan-2015.
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- Neidhardt J, Schuster R, Seyfang L and Werthner H Eliciting the users' unknown preferences Proceedings of the 8th ACM Conference on Recommender systems, (309-312)
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- Bastian M, Hayes M, Vaughan W, Shah S, Skomoroch P, Kim H, Uryasev S and Lloyd C LinkedIn skills Proceedings of the 8th ACM Conference on Recommender systems, (1-8)
- Lu W, Chen S, Li K and Lakshmanan L (2014). Show me the money, Proceedings of the VLDB Endowment, 7:14, (1785-1796), Online publication date: 1-Oct-2014.
- Pessemier T, Dooms S and Martens L (2014). Comparison of group recommendation algorithms, Multimedia Tools and Applications, 72:3, (2497-2541), Online publication date: 1-Oct-2014.
- Chavarriaga O, Florian-Gaviria B and Solarte O A Recommender System for Students Based on Social Knowledge and Assessment Data of Competences Proceedings of the 9th European Conference on Open Learning and Teaching in Educational Communities - Volume 8719, (56-69)
- Schedl M, Gómez E and Urbano J (2014). Music Information Retrieval, Foundations and Trends in Information Retrieval, 8:2-3, (127-261), Online publication date: 12-Sep-2014.
- Schaller R and Elsweiler D Itinerary recommenders Proceedings of the 5th Information Interaction in Context Symposium, (185-194)
- Xue H, Guo J, Lan Y and Cao L Personalized paper recommendation in online social scholar system Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, (612-619)
- Costa A, Domingues M, Rezende S and Manzato M Improving Personalized Ranking in Recommender Systems with Multimodal Interactions Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01, (198-204)
- Manzato M, Domingues M and Rezende S Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01, (191-197)
- Domingues M, Sundermann C, Manzato M, Marcacini R and Rezende S Exploiting Text Mining Techniques for Contextual Recommendations Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02, (210-217)
- Dai C, Qian F, Jiang W, Wang Z and Wu Z (2014). A personalized recommendation system for NetEase dating site, Proceedings of the VLDB Endowment, 7:13, (1760-1765), Online publication date: 1-Aug-2014.
- Huang J, Zhong N and Yao Y (2014). A UNIFIED FRAMEWORK OF TARGETED MARKETING USING CUSTOMER PREFERENCES, Computational Intelligence, 30:3, (451-472), Online publication date: 1-Aug-2014.
- Zhang M, Tang J, Zhang X and Xue X Addressing cold start in recommender systems Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, (73-82)
- Schedl M, Vall A and Farrahi K User geospatial context for music recommendation in microblogs Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, (987-990)
- Schedl M, Knees P and Shen J SoMeRA 2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, (1297-1297)
- Jawaheer G, Weller P and Kostkova P (2014). Modeling User Preferences in Recommender Systems, ACM Transactions on Interactive Intelligent Systems, 4:2, (1-26), Online publication date: 1-Jul-2014.
- Sluis F, Broek E, Glassey R, Dijk E and Jong F (2014). When complexity becomes interesting, Journal of the Association for Information Science and Technology, 65:7, (1478-1500), Online publication date: 1-Jul-2014.
- Schmachtenberg M, Strufe T and Paulheim H Enhancing a Location-based Recommendation System by Enrichment with Structured Data from the Web Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), (1-12)
- Yin H, Cui B, Sun Y, Hu Z and Chen L (2014). LCARS, ACM Transactions on Information Systems, 32:3, (1-37), Online publication date: 1-Jun-2014.
- Yalvaç F, Lim V, Hu J, Funk M and Rauterberg M Social recipe recommendation to reduce food waste CHI '14 Extended Abstracts on Human Factors in Computing Systems, (2431-2436)
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- Hofmann K, Schuth A, Bellogín A and Rijke M Effects of Position Bias on Click-Based Recommender Evaluation Proceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 8416, (624-630)
- Rikitianskii A, Harvey M and Crestani F A Personalised Recommendation System for Context-Aware Suggestions Proceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 8416, (63-74)
- Rodrigues R, Durão F, Garcia V, Silva C, Souza R and Assad R A cloud-based recommendation model Proceedings of the 7th Euro American Conference on Telematics and Information Systems, (1-4)
- Santos E, Goularte R and Manzato M Personalized collaborative filtering Proceedings of the 29th Annual ACM Symposium on Applied Computing, (919-924)
- Bedi P, Agarwal S, Jindal V and Richa MARST Proceedings of the 9th International Workshop on Databases in Networked Information Systems - Volume 8381, (189-201)
- Keck I and Ross R Exploring customer specific KPI selection strategies for an adaptive time critical user interface Proceedings of the 19th international conference on Intelligent User Interfaces, (341-346)
- Luo G (2014). A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers, Journal of Medical Systems, 38:2, (1-19), Online publication date: 1-Feb-2014.
- Schedl M and Schnitzer D Location-Aware Music Artist Recommendation Proceedings of the 20th Anniversary International Conference on MultiMedia Modeling - Volume 8326, (205-213)
- Elahi M, Braunhofer M, Ricci F and Tkalcic M Personality-Based Active Learning for Collaborative Filtering Recommender Systems Proceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 8249, (360-371)
- Elahi M, Ricci F and Rubens N (2014). Active learning strategies for rating elicitation in collaborative filtering, ACM Transactions on Intelligent Systems and Technology, 5:1, (1-33), Online publication date: 1-Dec-2013.
- Mikeli A, Apostolou D and Despotis D A Multi-criteria Recommendation Method for Interval Scaled Ratings Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 03, (9-12)
- Duarte D, Pereira A and Davis C Modeling, characterizing and recommendation in multimedia web content services Proceedings of the 19th Brazilian symposium on Multimedia and the web, (265-268)
- Dias A, Wives L and Roesler V Enhancing the accuracy of ratings predictions of video recommender system by segments of interest Proceedings of the 19th Brazilian symposium on Multimedia and the web, (241-248)
- Santos Junior E, Manzato M and Goularte R Hybrid recommenders Proceedings of the 19th Brazilian symposium on Multimedia and the web, (317-324)
- Zhao S, King I and Lyu M Capturing Geographical Influence in POI Recommendations Proceedings, Part II, of the 20th International Conference on Neural Information Processing - Volume 8227, (530-537)
- Tan C, Chi E, Huffaker D, Kossinets G and Smola A Instant foodie Proceedings of the 22nd ACM international conference on Information & Knowledge Management, (1127-1136)
- Shen J, Hua X and Sargin E Towards next generation multimedia recommendation systems Proceedings of the 21st ACM international conference on Multimedia, (1109-1110)
- Klapuri J, Nieminen I, Raiko T and Lagus K Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset Proceedings of the 12th International Symposium on Advances in Intelligent Data Analysis XII - Volume 8207, (249-260)
- Konstan J and Adomavicius G Toward identification and adoption of best practices in algorithmic recommender systems research Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation, (23-28)
- Dzyabura D and Tuzhilin A Not by search alone Proceedings of the 7th ACM conference on Recommender systems, (371-374)
- Adamopoulos P and Tuzhilin A Recommendation opportunities Proceedings of the 7th ACM conference on Recommender systems, (351-354)
- Pera M and Ng Y What to read next? Proceedings of the 7th ACM conference on Recommender systems, (113-120)
- Azaria A, Hassidim A, Kraus S, Eshkol A, Weintraub O and Netanely I Movie recommender system for profit maximization Proceedings of the 7th ACM conference on Recommender systems, (121-128)
- Bessa A, Veloso A and Ziviani N Using Mutual Influence to Improve Recommendations Proceedings of the 20th International Symposium on String Processing and Information Retrieval - Volume 8214, (17-28)
- Chen L, de Gemmis M, Felfernig A, Lops P, Ricci F and Semeraro G (2013). Human Decision Making and Recommender Systems, ACM Transactions on Interactive Intelligent Systems, 3:3, (1-7), Online publication date: 1-Oct-2013.
- Vargiu E, Giuliani A and Armano G (2013). Improving contextual advertising by adopting collaborative filtering, ACM Transactions on the Web, 7:3, (1-22), Online publication date: 1-Sep-2013.
- Sutherland D, Póczos B and Schneider J Active learning and search on low-rank matrices Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, (212-220)
- Yin H, Sun Y, Cui B, Hu Z and Chen L LCARS Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, (221-229)
- Schedl M and Schnitzer D Hybrid retrieval approaches to geospatial music recommendation Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, (793-796)
- Shigeyoshi H, Tamano K, Saga R, Tsuji H, Inoue S and Ueno T Social experiment on advisory recommender system for energy-saving Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction design - Volume Part I, (545-554)
- Leme L, Lopes G, Nunes B, Casanova M and Dietze S Identifying candidate datasets for data interlinking Proceedings of the 13th international conference on Web Engineering, (354-366)
- Kaafar M, Berkovsky S and Donnet B (2013). On the potential of recommendation technologies for efficient content delivery networks, ACM SIGCOMM Computer Communication Review, 43:3, (74-77), Online publication date: 1-Jul-2013.
- Sutcliffe A and Sawyer P Modeling personalized adaptive systems Proceedings of the 25th international conference on Advanced Information Systems Engineering, (178-192)
- Rao J, Jia A, Feng Y and Zhao D Personalized news recommendation using ontologies harvested from the web Proceedings of the 14th international conference on Web-Age Information Management, (781-787)
- Zhang Z, Lin H, Liu K, Wu D, Zhang G and Lu J (2013). A hybrid fuzzy-based personalized recommender system for telecom products/services, Information Sciences: an International Journal, 235, (117-129), Online publication date: 1-Jun-2013.
- GarcíA A, ChesñEvar C, Rotstein N and Simari G (2013). Formalizing dialectical explanation support for argument-based reasoning in knowledge-based systems, Expert Systems with Applications: An International Journal, 40:8, (3233-3247), Online publication date: 1-Jun-2013.
- PéRez-Gallardo Y, Alor-HernáNdez G, Cortes-Robles G and RodríGuez-GonzáLez A (2013). Collective intelligence as mechanism of medical diagnosis, Expert Systems with Applications: An International Journal, 40:7, (2726-2737), Online publication date: 1-Jun-2013.
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- Cleger-Tamayo S, Fernández-Luna J, Huete J and Tintarev N Being confident about the quality of the predictions in recommender systems Proceedings of the 35th European conference on Advances in Information Retrieval, (411-422)
- Bostandjiev S, O'Donovan J and Höllerer T LinkedVis Proceedings of the 2013 international conference on Intelligent user interfaces, (107-116)
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- Lacerda A and Ziviani N Building user profiles to improve user experience in recommender systems Proceedings of the sixth ACM international conference on Web search and data mining, (759-764)
- Tanaka M, Sasaki Y, Miki M and Hiroyasu T (2013). Crossover method for interactive genetic algorithms to estimate multimodal preferences, Applied Computational Intelligence and Soft Computing, 2013, (15-15), Online publication date: 1-Jan-2013.
- Said A, Berkovsky S and De Luca E (2013). Introduction to special section on CAMRa2010, ACM Transactions on Intelligent Systems and Technology, 4:1, (1-9), Online publication date: 1-Jan-2013.
- Guy I, Chen L and Zhou M (2013). Introduction to the special section on social recommender systems, ACM Transactions on Intelligent Systems and Technology, 4:1, (1-2), Online publication date: 1-Jan-2013.
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- Yuan Z, Yu K, Zhang J and Pan H Structural context-aware cross media recommendation Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing, (790-800)
- Sobecki J Comparison of nature inspired algorithms applied in student courses recommendation Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I, (278-287)
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- Zanker M The influence of knowledgeable explanations on users' perception of a recommender system Proceedings of the sixth ACM conference on Recommender systems, (269-272)
- Di Noia T, Mirizzi R, Ostuni V and Romito D Exploiting the web of data in model-based recommender systems Proceedings of the sixth ACM conference on Recommender systems, (253-256)
- Manzato M Discovering latent factors from movies genres for enhanced recommendation Proceedings of the sixth ACM conference on Recommender systems, (249-252)
- Schelter S, Boden C and Markl V Scalable similarity-based neighborhood methods with MapReduce Proceedings of the sixth ACM conference on Recommender systems, (163-170)
- Ning X and Karypis G Sparse linear methods with side information for top-n recommendations Proceedings of the sixth ACM conference on Recommender systems, (155-162)
- Bostandjiev S, O'Donovan J and Höllerer T TasteWeights Proceedings of the sixth ACM conference on Recommender systems, (35-42)
- Nunes M and Hu R Personality-based recommender systems Proceedings of the sixth ACM conference on Recommender systems, (5-6)
- Di Noia T, Mirizzi R, Ostuni V, Romito D and Zanker M Linked open data to support content-based recommender systems Proceedings of the 8th International Conference on Semantic Systems, (1-8)
- Xu F, Ji Z and Wang B Dual role model for question recommendation in community question answering Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, (771-780)
- Goyal A and Lakshmanan L RecMax Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, (1294-1302)
- Wu Z, Wu J, Cao J and Tao D HySAD Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, (985-993)
- Fan M, Xiao Y and Zhou Q Bringing the associative ability to social tag recommendation Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing, (44-54)
- Koster A, Sabater-Mir J and Schorlemmer M Personalizing communication about trust Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1, (517-524)
- Cremonesi P, Garzotto F and Turrin R (2012). Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective, ACM Transactions on Interactive Intelligent Systems, 2:2, (1-41), Online publication date: 1-Jun-2012.
- Yin H, Cui B, Li J, Yao J and Chen C (2012). Challenging the long tail recommendation, Proceedings of the VLDB Endowment, 5:9, (896-907), Online publication date: 1-May-2012.
- Ricci F Context-aware music recommender systems Proceedings of the 21st International Conference on World Wide Web, (865-866)
- Shmueli E, Kagian A, Koren Y and Lempel R Care to comment? Proceedings of the 21st international conference on World Wide Web, (429-438)
- Aizenberg N, Koren Y and Somekh O Build your own music recommender by modeling internet radio streams Proceedings of the 21st international conference on World Wide Web, (1-10)
- Wang Y, Yin L, Cheng B and Yu Y Learning to recommend based on slope one strategy Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications, (537-544)
- Mirizzi R, Di Noia T, Di Sciascio E and Ragone A Web 3.0 in action Proceedings of the 27th Annual ACM Symposium on Applied Computing, (403-405)
- Costantino G, Morisset C and Petrocchi M Subjective review-based reputation Proceedings of the 27th Annual ACM Symposium on Applied Computing, (2029-2034)
- Goliński M, Graczyk M, Szafrański M, Prussak W and Skawiński T Technological and organizational determinants of information management in the urban space (based on scientific research) Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, (1-10)
- Doryab A, Togelius J and Bardram J Activity-aware recommendation for collaborative work in operating rooms Proceedings of the 2012 ACM international conference on Intelligent User Interfaces, (301-304)
- Jarušek P and Pelánek R Modeling and predicting students problem solving times Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science, (637-648)
- Tao H, Nguyen Y, Nguyen H, Huynh V and Nguyen T Egobile Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services, (408-411)
- Roshchina A, Cardiff J and Rosso P A comparative evaluation of personality estimation algorithms for the twin recommender system Proceedings of the 3rd international workshop on Search and mining user-generated contents, (11-18)
- Lage R, Durao F, Dolog P and Stewart A Applicability of recommender systems to medical surveillance systems Proceedings of the second international workshop on Web science and information exchange in the medical web, (1-6)
- Fernández-Luna J, Huete J and Rodríguez-Cano J User intent transition for explicit collaborative search through groups recommendation Proceedings of the 3rd international workshop on Collaborative information retrieval, (23-28)
- Bourke S, McCarthy K and Smyth B Power to the people Proceedings of the fifth ACM conference on Recommender systems, (337-340)
- Koenigstein N, Dror G and Koren Y Yahoo! music recommendations Proceedings of the fifth ACM conference on Recommender systems, (165-172)
- Koren Y and Sill J OrdRec Proceedings of the fifth ACM conference on Recommender systems, (117-124)
- Sundaresan N Recommender systems at the long tail Proceedings of the fifth ACM conference on Recommender systems, (1-6)
- Peng J, Zeng D and Huang Z (2008). Latent subject-centered modeling of collaborative tagging, ACM Transactions on Management Information Systems, 2:3, (1-23), Online publication date: 1-Oct-2011.
- Friedrich G and Zanker M (2011). A Taxonomy for Generating Explanations in Recommender Systems, AI Magazine, 32:3, (90-98), Online publication date: 1-Sep-2011.
- Martin F, Donaldson J, Ashenfelter A, Torrens M and Hangartner R (2011). The Big Promise of Recommender Systems, AI Magazine, 32:3, (19-27), Online publication date: 1-Sep-2011.
- Zhang Z, Zhou T and Zhang Y (2011). Tag-aware recommender systems, Journal of Computer Science and Technology, 26:5, (767-777), Online publication date: 1-Sep-2011.
- Lathia N and Capra L Mining mobility data to minimise travellers' spending on public transport Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, (1181-1189)
- Dror G, Koren Y, Maarek Y and Szpektor I I want to answer; who has a question? Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, (1109-1117)
- Wu S and Wang S Rating-based collaborative filtering combined with additional regularization Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, (1195-1196)
- Parra D and Amatriain X Walk the talk Proceedings of the 19th international conference on User modeling, adaption, and personalization, (255-268)
- Ricci F, Semeraro G, de Gemmis M and Lops P Decision making and recommendation acceptance issues in recommender systems Proceedings of the 19th international conference on Advances in User Modeling, (86-91)
- Vengroff D RecLab Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation, (31-38)
- Chen L and Pu P Users' eye gaze pattern in organization-based recommender interfaces Proceedings of the 16th international conference on Intelligent user interfaces, (311-314)
- Hug N, Prade H, Richard G and Serrurier M Analogy in recommendation. Numerical vs. ordinal: A discussion 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (2220-2226)
- Oliveira S, Diniz V, Lacerda A and Pappa G Evolutionary rank aggregation for recommender systems 2016 IEEE Congress on Evolutionary Computation (CEC), (255-262)
Index Terms
- Recommender Systems Handbook