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  • Petruzzelli A, Martina A, Spillo G, Musto C, De Gemmis M, Lops P and Semeraro G. Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. (172-182).

    https://doi.org/10.1145/3627043.3659565

  • Behera G and Nain N. (2023). The State-of-the-Art and Challenges on Recommendation System’s: Principle, Techniques and Evaluation Strategy. SN Computer Science. 4:5. Online publication date: 3-Sep-2023.

    https://doi.org/10.1007/s42979-023-02207-z

  • Rana A, Sanner S, Bouadjenek M, Dicarlantonio R and Farmaner G. (2023). User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation. ACM Transactions on the Web. 0:0.

    https://doi.org/10.1145/3597499

  • Li S, Majumder B and McAuley J. Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. Proceedings of the 16th ACM Conference on Recommender Systems. (327-337).

    https://doi.org/10.1145/3523227.3546783

  • Medlar A, Li J, Liu Y and Glowacka D. Critiquing-based Modeling of Subjective Preferences. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. (234-242).

    https://doi.org/10.1145/3503252.3531314

  • Jannach D, Manzoor A, Cai W and Chen L. (2021). A Survey on Conversational Recommender Systems. ACM Computing Surveys. 54:5. (1-36). Online publication date: 30-Jun-2022.

    https://doi.org/10.1145/3453154

  • Rahdari B, Kveton B and Brusilovsky P. The Magic of Carousels: Single vs. Multi-List Recommender Systems. Proceedings of the 33rd ACM Conference on Hypertext and Social Media. (166-174).

    https://doi.org/10.1145/3511095.3531278

  • Iovine A, Lops P, Narducci F, de Gemmis M and Semeraro G. (2021). An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. Journal of Intelligent Information Systems. 58:2. (337-362). Online publication date: 1-Apr-2022.

    https://doi.org/10.1007/s10844-021-00683-4

  • Contreras D, Salamó M and Boratto L. (2021). Integrating Collaboration and Leadership in Conversational Group Recommender Systems. ACM Transactions on Information Systems. 39:4. (1-32). Online publication date: 31-Oct-2021.

    https://doi.org/10.1145/3462759

  • Wang H, Zhou C, Yang C, Yang H and He J. Controllable Gradient Item Retrieval. Proceedings of the Web Conference 2021. (768-777).

    https://doi.org/10.1145/3442381.3449963

  • Rana A and Bridge D. Navigation-by-preference. Proceedings of the 25th International Conference on Intelligent User Interfaces. (155-165).

    https://doi.org/10.1145/3377325.3377496

  • Roberti M, Bonetta G, Cancelliere R and Gallinari P. Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. Machine Learning and Knowledge Discovery in Databases. (648-664).

    https://doi.org/10.1007/978-3-030-46147-8_39

  • Felfernig A, Polat-Erdeniz S, Uran C, Reiterer S, Atas M, Tran T, Azzoni P, Kiraly C and Dolui K. (2019). An overview of recommender systems in the internet of things. Journal of Intelligent Information Systems. 52:2. (285-309). Online publication date: 1-Apr-2019.

    https://doi.org/10.1007/s10844-018-0530-7

  • Kern D, van Hoek W and Hienert D. Evaluation of a search interface for preference-based ranking. Proceedings of the 10th Nordic Conference on Human-Computer Interaction. (184-194).

    https://doi.org/10.1145/3240167.3240170

  • Ramnani R, Sengupta S, Ravilla T and Patil S. Smart Entertainment - A Critiquing Based Dialog System for Eliciting User Preferences and Making Recommendations. Natural Language Processing and Information Systems. (456-463).

    https://doi.org/10.1007/978-3-319-91947-8_47

  • Taijala T, Willemsen M and Konstan J. MovieExplorer. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. (1383-1392).

    https://doi.org/10.1145/3167132.3167281

  • Hamidi H and Mousavi R. (2018). Analysis and Evaluation of a Framework for Sampling Database in Recommenders. Journal of Global Information Management. 26:1. (41-57). Online publication date: 1-Jan-2018.

    https://doi.org/10.4018/JGIM.2018010103

  • (2018). Recommendation research trends. International Journal of Web Engineering and Technology. 13:2. (123-186). Online publication date: 1-Jan-2018.

    https://doi.org/10.1504/IJWET.2018.092831

  • Ulz T, Schwarz M, Felfernig A, Haas S, Shehadeh A, Reiterer S and Stettinger M. (2017). Human computation for constraint-based recommenders. Journal of Intelligent Information Systems. 49:1. (37-57). Online publication date: 1-Aug-2017.

    https://doi.org/10.1007/s10844-016-0433-4

  • Li H, Chan T, Yiu M and Mamoulis N. FEXIPRO. Proceedings of the 2017 ACM International Conference on Management of Data. (835-850).

    https://doi.org/10.1145/3035918.3064009

  • Kesrarat D, Songcharoenkit S, Nanthapornpisut P and Thawonthammarat L. Smart Matching for Car Rental. Proceedings of the 9th International Conference on Machine Learning and Computing. (529-533).

    https://doi.org/10.1145/3055635.3056596

  • Chen L, Wang F, Pu P, Díaz Agudo B and Goel A. (2017). Investigating users’ eye movement behavior in critiquing-based recommender systems. AI Communications. 30:3-4. (207-222). Online publication date: 1-Jan-2017.

    https://doi.org/10.3233/AIC-170737

  • Chen L, Wang F and Wu W. Inferring Users’ Critiquing Feedback on Recommendations from Eye Movements. Case-Based Reasoning Research and Development. (62-76).

    https://doi.org/10.1007/978-3-319-47096-2_5

  • Chen L and Wang F. An Eye-Tracking Study. Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. (163-167).

    https://doi.org/10.1145/2930238.2930286

  • Dong R, O'mahony M, Schaal M, Mccarthy K and Smyth B. (2016). Combining similarity and sentiment in opinion mining for product recommendation. Journal of Intelligent Information Systems. 46:2. (285-312). Online publication date: 1-Apr-2016.

    https://doi.org/10.1007/s10844-015-0379-y

  • Kamalzadeh M, Kralj C, Möller T and Sedlmair M. TagFlip. Proceedings of the 21st International Conference on Intelligent User Interfaces. (19-30).

    https://doi.org/10.1145/2856767.2856780

  • Jiang C, Duan R, Jain H, Liu S and Liang K. (2015). Hybrid collaborative filtering for high-involvement products. Decision Support Systems. 79:C. (195-208). Online publication date: 1-Nov-2015.

    https://doi.org/10.1016/j.dss.2015.09.002

  • Khelassi A and Chikh M. (2015). Cognitive amalgam with a distributed fuzzy case-based reasoning system for an accurate cardiac arrhythmias diagnosis. International Journal of Information and Communication Technology. 7:4/5. (348-365). Online publication date: 1-Jul-2015.

    https://doi.org/10.1504/IJICT.2015.070297

  • Kim M and Chen C. (2015). A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics. 104:1. (239-263). Online publication date: 1-Jul-2015.

    https://doi.org/10.1007/s11192-015-1595-5

  • Omisore O. (2014). A Hybrid Recommendation Approach for Personalized Retrieval of Research Articles. International Journal of Information Retrieval Research. 4:4. (42-60). Online publication date: 1-Oct-2014.

    https://doi.org/10.4018/IJIRR.2014100103

  • Vasudevan S and Chakraborti S. Mining user trails in critiquing based recommenders. Proceedings of the 23rd International Conference on World Wide Web. (777-780).

    https://doi.org/10.1145/2567948.2579238

  • Salem Y, Hong J and Liu W. History-guided conversational recommendation. Proceedings of the 23rd International Conference on World Wide Web. (999-1004).

    https://doi.org/10.1145/2567948.2578844

  • Grasch P, Felfernig A and Reinfrank F. ReComment. Proceedings of the 7th ACM conference on Recommender systems. (157-164).

    https://doi.org/10.1145/2507157.2507161

  • Chen L and Wang F. (2013). Preference-based clustering reviews for augmenting e-commerce recommendation. Knowledge-Based Systems. 50:C. (44-59). Online publication date: 1-Sep-2013.

    /doi/10.5555/2770959.2771069

  • Salem Y and Hong J. History-aware critiquing-based conversational recommendation. Proceedings of the 22nd International Conference on World Wide Web. (63-64).

    https://doi.org/10.1145/2487788.2487813

  • Ruotsalo T, Haav K, Stoyanov A, Roche S, Fani E, Deliai R, Mäkelä E, Kauppinen T and Hyvönen E. (2013). SMARTMUSEUM. Web Semantics: Science, Services and Agents on the World Wide Web. 20:C. (50-67). Online publication date: 1-May-2013.

    /doi/10.5555/2773578.2773767

  • Kaindl H, Wach E, Okoli A, Popp R, Hoch R, Gaulke W and Hussein T. Semi-automatic generation of recommendation processes and their GUIs. Proceedings of the 2013 international conference on Intelligent user interfaces. (85-94).

    https://doi.org/10.1145/2449396.2449410

  • Lessel P, Böhmer M, Kröner A and Krüger A. User requirements and design guidelines for digital restaurant menus. Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design. (524-533).

    https://doi.org/10.1145/2399016.2399096

  • Pu P, Chen L and Hu R. (2012). Evaluating recommender systems from the user's perspective. User Modeling and User-Adapted Interaction. 22:4-5. (317-355). Online publication date: 1-Oct-2012.

    https://doi.org/10.1007/s11257-011-9115-7

  • Ziaei H, Wobcke W and Wong A. User-oriented product search based on consumer values and lifestyles. Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems. (313-327).

    https://doi.org/10.1007/978-3-642-32541-0_27

  • Vig J, Sen S and Riedl J. (2012). The Tag Genome. ACM Transactions on Interactive Intelligent Systems. 2:3. (1-44). Online publication date: 1-Sep-2012.

    https://doi.org/10.1145/2362394.2362395

  • Mandl M and Felfernig A. Improving the performance of unit critiquing. Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization. (176-187).

    https://doi.org/10.1007/978-3-642-31454-4_15

  • Oku K, Kotera R, Kitayama D and Sumiya K. (2012). Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection. International Journal of Handheld Computing Research. 3:3. (1-16). Online publication date: 1-Jul-2012.

    https://doi.org/10.4018/jhcr.2012070101

  • Salamó M, Mccarthy K and Smyth B. (2012). Generating recommendations for consensus negotiation in group personalization services. Personal and Ubiquitous Computing. 16:5. (597-610). Online publication date: 1-Jun-2012.

    https://doi.org/10.1007/s00779-011-0413-1

  • Konstan J and Riedl J. (2012). Recommender systems. User Modeling and User-Adapted Interaction. 22:1-2. (101-123). Online publication date: 1-Apr-2012.

    https://doi.org/10.1007/s11257-011-9112-x

  • Chen L and Pu P. (2012). Critiquing-based recommenders. User Modeling and User-Adapted Interaction. 22:1-2. (125-150). Online publication date: 1-Apr-2012.

    https://doi.org/10.1007/s11257-011-9108-6

  • Wang Y and Tseng M. (2011). Adaptive attribute selection for configurator design via shapley value. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 25:2. (185-195). Online publication date: 1-Apr-2011.

    /doi/10.5555/2433081.2433088

  • Gervasio M, Yeh E and Myers K. Learning to ask the right questions to help a learner learn. Proceedings of the 16th international conference on Intelligent user interfaces. (135-144).

    https://doi.org/10.1145/1943403.1943425

  • Vig J, Sen S and Riedl J. Navigating the tag genome. Proceedings of the 16th international conference on Intelligent user interfaces. (93-102).

    https://doi.org/10.1145/1943403.1943418

  • Hill R and Wesson J. A-POInter. Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists. (113-122).

    https://doi.org/10.1145/1899503.1899516

  • Vig J. Intelligent tagging interfaces. Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology. (371-374).

    https://doi.org/10.1145/1866218.1866226

  • Chen L and Pu P. (2010). Experiments on the preference-based organization interface in recommender systems. ACM Transactions on Computer-Human Interaction. 17:1. (1-33). Online publication date: 1-Mar-2010.

    https://doi.org/10.1145/1721831.1721836

  • Hong Z, Huang R, Chin K, Yen C and Lin J. An interactive agent system for supporting knowledge-based recommendation. Proceedings of the 4th International Conference on Uniquitous Information Management and Communication. (1-8).

    https://doi.org/10.1145/2108616.2108681

  • Jannach D. (2009). Fast computation of query relaxations for knowledge-based recommenders. AI Communications. 22:4. (235-248). Online publication date: 1-Dec-2009.

    /doi/10.5555/1662603.1662605

  • Pu P, Zhou M and Castagnos S. Critiquing recommenders for public taste products. Proceedings of the third ACM conference on Recommender systems. (249-252).

    https://doi.org/10.1145/1639714.1639760

  • Chen L and Pu P. (2009). Interaction design guidelines on critiquing-based recommender systems. User Modeling and User-Adapted Interaction. 19:3. (167-206). Online publication date: 1-Aug-2009.

    https://doi.org/10.1007/s11257-008-9057-x

  • Salamó M, Escalera S and Radeva P. Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender. Proceedings of the 8th International Conference on Case-Based Reasoning Research and Development - Volume 5650. (298-312).

    /doi/10.5555/3088769.3088793

  • Wilson D, Leland S, Godwin K, Baxter A, Levy A, Smart J, Najjar N and Andaparambil J. (2009). SmartChoice. AI Magazine. 30:2. (46-58). Online publication date: 1-Jun-2009.

    https://doi.org/10.1609/aimag.v30i2.2239

  • Teppan E and Felfernig A. (2009). Impacts of decoy elements on result set evaluations in knowledge-based recommendation. International Journal of Advanced Intelligence Paradigms. 1:3. (358-373). Online publication date: 1-Jun-2009.

    https://doi.org/10.1504/IJAIP.2009.026573

  • Pu P and Chen L. (2008). User‐Involved Preference Elicitation for Product Search and Recommender Systems. AI Magazine. 29:4. (93-103). Online publication date: 1-Dec-2008.

    https://doi.org/10.1609/aimag.v29i4.2200

  • Zanker M. A collaborative constraint-based meta-level recommender. Proceedings of the 2008 ACM conference on Recommender systems. (139-146).

    https://doi.org/10.1145/1454008.1454032

  • Hadzic T and O'Sullivan B. Critique graphs for catalogue navigation. Proceedings of the 2008 ACM conference on Recommender systems. (115-122).

    https://doi.org/10.1145/1454008.1454028

  • Hill R and Wesson J. Using mobile preference-based searching to improve tourism decision support. Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology. (104-113).

    https://doi.org/10.1145/1456659.1456672

  • Felfernig A and Burke R. Constraint-based recommender systems. Proceedings of the 10th international conference on Electronic commerce. (1-10).

    https://doi.org/10.1145/1409540.1409544

  • Wilson D, Leland S, Godwin K, Baxter A, Levy A, Smart J, Najjar N and Andaparambil J. The law of choice and the decision not to decide. Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3. (1640-1647).

    /doi/10.5555/1620138.1620144

  • Zhang J, Jones N and Pu P. A visual interface for critiquing-based recommender systems. Proceedings of the 9th ACM conference on Electronic commerce. (230-239).

    https://doi.org/10.1145/1386790.1386827

  • Orman L. (2008). Browsing databases with constraint hierarchies. Electronic Commerce Research. 8:1-2. (29-56). Online publication date: 1-Jun-2008.

    https://doi.org/10.1007/s10660-008-9016-y

  • Pu P, Chen L and Kumar P. (2008). Evaluating product search and recommender systems for E-commerce environments. Electronic Commerce Research. 8:1-2. (1-27). Online publication date: 1-Jun-2008.

    https://doi.org/10.1007/s10660-008-9015-z

  • Viappiani P, Pu P and Faltings B. (2008). Preference-based search with adaptive recommendations. AI Communications. 21:2-3. (155-175). Online publication date: 1-Apr-2008.

    /doi/10.5555/1460172.1460180

  • Colucci S, Di Noia T, Pinto A, Ruta M, Ragone A and Tinelli E. (2007). A Nonmonotonic Approach to Semantic Matchmaking and Request Refinement in E-Marketplaces. International Journal of Electronic Commerce. 12:2. (127-154). Online publication date: 1-Dec-2007.

    https://doi.org/10.2753/JEC1086-4415120205

  • Webster A and Vassileva J. The keepup recommender system. Proceedings of the 2007 ACM conference on Recommender systems. (173-176).

    https://doi.org/10.1145/1297231.1297264

  • Chen L and Pu P. The evaluation of a hybrid critiquing system with preference-based recommendations organization. Proceedings of the 2007 ACM conference on Recommender systems. (169-172).

    https://doi.org/10.1145/1297231.1297263

  • Viappiani P, Pu P and Faltings B. Conversational recommenders with adaptive suggestions. Proceedings of the 2007 ACM conference on Recommender systems. (89-96).

    https://doi.org/10.1145/1297231.1297246

  • Basile P, Tinelli E, Degemmis M, Di Noia T, Semeraro G and Di Sciascio E. Semantic bayesian profiling services for information recommendation. Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III. (711-719).

    /doi/10.5555/1771230.1771329

  • Chen L and Pu P. Preference-Based Organization Interfaces. Proceedings of the 11th international conference on User Modeling. (77-86).

    https://doi.org/10.1007/978-3-540-73078-1_11

  • Reilly J, Zhang J, McGinty L, Pu P and Smyth B. Evaluating compound critiquing recommenders. Proceedings of the 8th ACM conference on Electronic commerce. (114-123).

    https://doi.org/10.1145/1250910.1250929

  • Guan S and Tay Y. (2007). Interactive product catalogue with user preference tracking. International Journal of Web and Grid Services. 3:1. (58-81). Online publication date: 1-Mar-2007.

    https://doi.org/10.1504/IJWGS.2007.012637

  • Shen E, Lieberman H and Lam F. What am I gonna wear?. Proceedings of the 12th international conference on Intelligent user interfaces. (365-368).

    https://doi.org/10.1145/1216295.1216368

  • Reilly J, Zhang J, McGinty L, Pu P and Smyth B. A comparison of two compound critiquing systems. Proceedings of the 12th international conference on Intelligent user interfaces. (317-320).

    https://doi.org/10.1145/1216295.1216356

  • Chen L and Pu P. Hybrid critiquing-based recommender systems. Proceedings of the 12th international conference on Intelligent user interfaces. (22-31).

    https://doi.org/10.1145/1216295.1216308

  • McSherry D and Aha D. The ins and outs of critiquing. Proceedings of the 20th international joint conference on Artifical intelligence. (962-967).

    /doi/10.5555/1625275.1625431

  • Burke R. Hybrid web recommender systems. The adaptive web. (377-408).

    /doi/10.5555/1768197.1768211

  • Smyth B. Case-based recommendation. The adaptive web. (342-376).

    /doi/10.5555/1768197.1768210

  • Felfernig A, Friedrich G, Jannach D and Zanker M. (2006). An Integrated Environment for the Development of Knowledge-Based Recommender Applications. International Journal of Electronic Commerce. 11:2. (11-34). Online publication date: 1-Dec-2006.

    https://doi.org/10.2753/JEC1086-4415110201

  • Hinze A and Junmanee S. Advanced recommendation models for mobile tourist information. Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I. (643-660).

    https://doi.org/10.1007/11914853_38

  • Zanker M, Gordea S, Jessenitschnig M and Schnabl M. A hybrid similarity concept for browsing semi-structured product items. Proceedings of the 7th international conference on E-Commerce and Web Technologies. (21-30).

    https://doi.org/10.1007/11823865_3

  • Watson I and Trotzky J. Self-organising hierarchical retrieval in a case-agent system. Proceedings of the 8th European conference on Advances in Case-Based Reasoning. (62-75).

    https://doi.org/10.1007/11805816_7

  • McSherry D. Completeness criteria for retrieval in recommender systems. Proceedings of the 8th European conference on Advances in Case-Based Reasoning. (9-29).

    https://doi.org/10.1007/11805816_2

  • McCarthy K, McGinty L, Smyth B and Salamó M. The needs of the many. Proceedings of the 8th European conference on Advances in Case-Based Reasoning. (196-210).

    https://doi.org/10.1007/11805816_16

  • Viappiani P, Faltings B and Pu P. (2006). Preference-based search using example-critiquing with suggestions. Journal of Artificial Intelligence Research. 27:1. (465-503). Online publication date: 1-Sep-2006.

    /doi/10.5555/1622572.1622586

  • Colucci S, Noia T, Sciascio E, Donini F, Ragone A and Rizzi R. A semantic-based fully visual application for matchmaking and query refinement in B2C e-marketplaces. Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet. (174-184).

    https://doi.org/10.1145/1151454.1151489

  • Viappiani P, Faltings B and Pu P. Evaluating preference-based search tools. Proceedings of the 21st national conference on Artificial intelligence - Volume 1. (205-211).

    /doi/10.5555/1597538.1597572

  • Chen L and Pu P. Evaluating critiquing-based recommender agents. Proceedings of the 21st national conference on Artificial intelligence - Volume 1. (157-162).

    /doi/10.5555/1597538.1597564

  • Pu P, Viappiani P and Faltings B. Increasing user decision accuracy using suggestions. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (121-130).

    https://doi.org/10.1145/1124772.1124793

  • Kelly J and Bridge D. (2006). Enhancing the diversity of conversational collaborative recommendations. Artificial Intelligence Review. 25:1-2. (79-95). Online publication date: 1-Apr-2006.

    https://doi.org/10.1007/s10462-007-9023-8

  • Nissen M and Sengupta K. (2006). Incorporating software agents into supply chains. MIS Quarterly. 30:1. (145-166). Online publication date: 1-Mar-2006.

    /doi/10.5555/2017284.2017293

  • Costello E, Doody J, McGinty L and Smyth B. iCARE. Proceedings of the 11th international conference on Intelligent user interfaces. (282-284).

    https://doi.org/10.1145/1111449.1111511

  • McCarthy K, Salamó M, Coyle L, McGinty L, Smyth B and Nixon P. Group recommender systems. Proceedings of the 11th international conference on Intelligent user interfaces. (267-269).

    https://doi.org/10.1145/1111449.1111506

  • Pu P and Chen L. Trust building with explanation interfaces. Proceedings of the 11th international conference on Intelligent user interfaces. (93-100).

    https://doi.org/10.1145/1111449.1111475

  • Mccarthy K, Reilly J, Smyth B and Mcginty L. (2005). Generating Diverse Compound Critiques. Artificial Intelligence Review. 24:3-4. (339-357). Online publication date: 1-Nov-2005.

    https://doi.org/10.1007/s10462-005-9013-7

  • Reilly J, McCarthy K, McGinty L and Smyth B. (2005). Explaining Compound Critiques. Artificial Intelligence Review. 24:2. (199-220). Online publication date: 1-Oct-2005.

    https://doi.org/10.1007/s10462-005-4614-8

  • Burigat S, Chittaro L and De Marco L. Bringing dynamic queries to mobile devices. Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction. (213-226).

    https://doi.org/10.1007/11555261_20

  • Oh D and Tan C. (2005). Making Better Recommendations with Online Profiling Agents. AI Magazine. 26:3. (29-39). Online publication date: 1-Sep-2005.

    https://doi.org/10.1609/aimag.v26i3.1823

  • Plaza E and McGinty L. (2005). Distributed case-based reasoning. The Knowledge Engineering Review. 20:3. (261-265). Online publication date: 1-Sep-2005.

    https://doi.org/10.1017/S0269888906000683

  • Bridge D, Göker M, McGinty L and Smyth B. (2005). Case-based recommender systems. The Knowledge Engineering Review. 20:3. (315-320). Online publication date: 1-Sep-2005.

    https://doi.org/10.1017/S0269888906000567

  • Reilly J, Smyth B, McGinty L and McCarthy K. Critiquing with confidence. Proceedings of the 6th international conference on Case-Based Reasoning Research and Development. (436-450).

    https://doi.org/10.1007/11536406_34

  • McCarthy K, McGinty L, Smyth B and Reilly J. A live-user evaluation of incremental dynamic critiquing. Proceedings of the 6th international conference on Case-Based Reasoning Research and Development. (339-352).

    https://doi.org/10.1007/11536406_27

  • Wärnestål P. Modularized user modeling in conversational recommender systems. Proceedings of the 10th international conference on User Modeling. (527-529).

    https://doi.org/10.1007/11527886_78

  • Price B and Messinger P. Optimal recommendation sets. Proceedings of the 20th national conference on Artificial intelligence - Volume 2. (541-548).

    /doi/10.5555/1619410.1619420

  • Pu P and Chen L. Integrating tradeoff support in product search tools for e-commerce sites. Proceedings of the 6th ACM conference on Electronic commerce. (269-278).

    https://doi.org/10.1145/1064009.1064038

  • McCarthy K, Reilly J, McGinty L and Smyth B. Experiments in dynamic critiquing. Proceedings of the 10th international conference on Intelligent user interfaces. (175-182).

    https://doi.org/10.1145/1040830.1040871

  • Pu P and Faltings B. (2004). Decision Tradeoff Using Example-Critiquing and Constraint Programming. Constraints. 9:4. (289-310). Online publication date: 1-Oct-2004.

    https://doi.org/10.1023/B:CONS.0000049205.05581.24

  • Pu P, Faltings B and Torrens M. Effective Interaction Principles for Online Product Search Environments. Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence. (724-727).

    /doi/10.5555/1025132.1026421

  • Smyth B, McGinty L, Reilly J and McCarthy K. Compound Critiques for Conversational Recommender Systems. Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence. (145-151).

    /doi/10.5555/1025132.1026313

  • Pu P and Kumar P. Evaluating example-based search tools. Proceedings of the 5th ACM conference on Electronic commerce. (208-217).

    https://doi.org/10.1145/988772.988804

  • Faltings B, Pu P, Torrens M and Viappiani P. Designing example-critiquing interaction. Proceedings of the 9th international conference on Intelligent user interfaces. (22-29).

    https://doi.org/10.1145/964442.964449

  • Console L, Torre I, Lombardi I, Gioria S and Surano V. (2003). Personalized and Adaptive Services on Board a Car. Journal of Intelligent Information Systems. 21:3. (249-284). Online publication date: 1-Nov-2003.

    https://doi.org/10.1023/A:1025506816422

  • Burke R. Hybrid systems for personalized recommendations. Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization. (133-152).

    https://doi.org/10.1007/11577935_7

  • McGinty L and Smyth B. Improving the performance of recommender systems that use critiquing. Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization. (114-132).

    https://doi.org/10.1007/11577935_6

  • Mukherjee R, Sajja N and Sen S. (2003). A Movie Recommendation System—An Application of Voting Theory in User Modeling. User Modeling and User-Adapted Interaction. 13:1-2. (5-33). Online publication date: 1-Feb-2003.

    https://doi.org/10.1023/A:1024022819690

  • Fano A and Kurth S. Personal choice point. Proceedings of the 8th international conference on Intelligent user interfaces. (46-52).

    https://doi.org/10.1145/604045.604057

  • Shimazu H. (2002). ExpertClerk. Artificial Intelligence Review. 18:3-4. (223-244). Online publication date: 1-Dec-2002.

    https://doi.org/10.1023/A:1020757023711

  • Burke R. (2002). Interactive Critiquing forCatalog Navigation in E-Commerce. Artificial Intelligence Review. 18:3-4. (245-267). Online publication date: 1-Dec-2002.

    https://doi.org/10.1023/A:1020701617138

  • Burke R. (2002). Hybrid Recommender Systems. User Modeling and User-Adapted Interaction. 12:4. (331-370). Online publication date: 4-Nov-2002.

    https://doi.org/10.1023/A:1021240730564

  • McGinty L and Smyth B. Comparison-Based Recommendation. Proceedings of the 6th European Conference on Advances in Case-Based Reasoning. (575-589).

    /doi/10.5555/646180.682440

  • Pazzani M and Billsus D. (2002). Adaptive Web Site Agents. Autonomous Agents and Multi-Agent Systems. 5:2. (205-218). Online publication date: 1-Jun-2002.

    https://doi.org/10.1023/A:1014849311433

  • Pu P and Faltings B. Personalized navigation of heterogeneous product spaces using SmartClient. Proceedings of the 7th international conference on Intelligent user interfaces. (212-213).

    https://doi.org/10.1145/502716.502762

  • Jameson A. Adaptive interfaces and agents. The human-computer interaction handbook. (305-330).

    /doi/10.5555/772072.772094

  • Gates W and Nissen M. (2001). Designing Agent-Based Electronic Employment Markets. Electronic Commerce Research. 1:3. (239-263). Online publication date: 1-Jul-2001.

    https://doi.org/10.1023/A:1011541904948

  • Nissen M. (2001). Agent-Based Supply Chain Integration. Information Technology and Management. 2:3. (289-312). Online publication date: 1-Jul-2001.

    https://doi.org/10.1023/A:1011449109160

  • Simazu H, Shibata A and Nihei K. (2001). ExpertGuide. Applied Intelligence. 14:1. (33-48). Online publication date: 7-Feb-2001.

    https://doi.org/10.1023/A:1008350923935

  • Aha D, Breslow L and Muñoz-Avila H. (2001). Conversational Case-Based Reasoning. Applied Intelligence. 14:1. (9-32). Online publication date: 7-Feb-2001.

    https://doi.org/10.1023/A:1008346807097

  • Shearin S and Lieberman H. Intelligent profiling by example. Proceedings of the 6th international conference on Intelligent user interfaces. (145-151).

    https://doi.org/10.1145/359784.360325

  • Ardissono L and Goy A. (2000). Tailoring the Interaction with Users in Web Stores. User Modeling and User-Adapted Interaction. 10:4. (251-303). Online publication date: 7-Apr-2000.

    https://doi.org/10.1023/A:1008372122567

  • Burke R. The Wasabi Personal Shopper. Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence. (844-849).

    /doi/10.5555/315149.315486

  • Ardissono L, Goy A, Meo R, Petrone G, Console L, Lesmo L, Simone C and Torasso P. (1999). A configurable system for the construction of adaptive virtual stores. World Wide Web. 2:3. (143-159). Online publication date: 15-Mar-1999.

    https://doi.org/10.1023/A:1019252823387

  • Crangle C, Carlson R, Fagan L, Erlbaum M, Sherertz D and Langford L. (1998). Knowledge Architectures for Patient Access to Breast-Cancer Information. IEEE Intelligent Systems. 13:1. (26-31). Online publication date: 1-Jan-1998.

    https://doi.org/10.1109/5254.653221