Supporting Creativity through the Interactive Exploratory Search Paradigm
暂无分享,去创建一个
Gregoris Mentzas | Dimitris Apostolou | Maria Taramigkou | G. Mentzas | Maria Taramigkou | Dimitris Apostolou
[1] Ricardo Melo,et al. The Design of Horacle : Inducing Serendipity on the Web , 2013 .
[2] Pasquale Lops,et al. An investigation on the serendipity problem in recommender systems , 2015, Inf. Process. Manag..
[3] Russell Beale,et al. Supporting serendipity: Using ambient intelligence to augment user exploration for data mining and web browsing , 2007, Int. J. Hum. Comput. Stud..
[4] Sreenivas Gollapudi,et al. Diversifying search results , 2009, WSDM '09.
[5] John M. Carroll,et al. Local News Chatter: Augmenting Community News by Aggregating Hyperlocal Microblog Content in a Tag Cloud , 2014, Int. J. Hum. Comput. Interact..
[6] Christian Wolff,et al. The Many Ways of Searching the Web Together : A Comparison of Social Search Engines , 2012 .
[7] M. Boden. Dimensions of creativity , 1996 .
[8] Ian Taylor,et al. Three dimensional visualization of the World Wide Web , 1999, CSUR.
[9] Fabien L. Gandon,et al. Discovery hub: on-the-fly linked data exploratory search , 2013, I-SEMANTICS '13.
[10] Mounia Lalmas,et al. DEESSE: entity-Driven Exploratory and sErendipitous Search SystEm , 2014, CIKM.
[11] David E. Meyer,et al. Demystification of cognitive insight: Opportunistic assimilation and the prepared-mind hypothesis , 1994 .
[12] Brendan T. O'Connor,et al. TweetMotif: Exploratory Search and Topic Summarization for Twitter , 2010, ICWSM.
[13] Stewart Clegg,et al. On serendipity and organizing , 2010 .
[14] Andrew MacFarlane. Web Search Engine Research , 2013, J. Documentation.
[15] Michael S. Bernstein,et al. Short and tweet: experiments on recommending content from information streams , 2010, CHI.
[16] Royston M. Roberts,et al. Serendipity: Accidental Discoveries in Science , 1989 .
[17] Dorota Glowacka,et al. Directing exploratory search: reinforcement learning from user interactions with keywords , 2013, IUI '13.
[18] Li Chen,et al. A user-centric evaluation framework for recommender systems , 2011, RecSys '11.
[19] Teresa M. Amabile,et al. Creativity and Innovation in Organizations , 1996 .
[20] Ann Blandford,et al. Coming across information serendipitously - Part 1: A process model , 2012, J. Documentation.
[21] Fabrizio Silvestri,et al. Efficient Diversification of Web Search Results , 2011, Proc. VLDB Endow..
[22] Charles L. A. Clarke,et al. Novelty and diversity in information retrieval evaluation , 2008, SIGIR '08.
[23] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[24] Rong Jin,et al. Understanding bag-of-words model: a statistical framework , 2010, Int. J. Mach. Learn. Cybern..
[25] Jade Goldstein-Stewart,et al. The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries , 1998, SIGIR Forum.
[26] Ricky W. Griffin,et al. Toward a Theory of Organizational Creativity , 1993 .
[27] Lennart Björneborn,et al. Design Dimensions Enabling Divergent Behaviour across Physical, Digital, and Social Library Interfaces , 2010, PERSUASIVE.
[28] Elaine Toms,et al. Measuring the dimensions of serendipity in digital environments , 2011, Inf. Res..
[29] Panagiotis Adamopoulos,et al. On Unexpectedness in Recommender Systems , 2013, ACM Trans. Intell. Syst. Technol..
[30] Mark S. Ackerman,et al. The perfect search engine is not enough: a study of orienteering behavior in directed search , 2004, CHI.
[31] Thomas Lee Rodgers,et al. Identifying Quality, Novel, and Creative Ideas: Constructs and Scales for Idea Evaluation , 2006, J. Assoc. Inf. Syst..
[32] R. Beghetto,et al. Why Creativity Is Domain General, Why It Looks Domain Specific, and Why the Distinction Does Not Matter. , 2004 .
[33] G. Fine,et al. Three principles of Serendip : insight, chance, and discovery in qualitative research , 1996 .
[34] Gitte Lindgaard,et al. Developing innovative systems: creative ideation , 2004 .
[35] Yvonne Kammerer,et al. The Role of Search Result Position and Source Trustworthiness in the Selection of Web Search Results When Using a List or a Grid Interface , 2014, Int. J. Hum. Comput. Interact..
[36] Victoria L. Rubin,et al. Promoting serendipity online: recommendations for tool design , 2012, iConference '12.
[37] Amanda Spink,et al. From Highly Relevant to Not Relevant: Examining Different Regions of Relevance , 1998, Inf. Process. Manag..
[38] Roberto C. Delgadillo,et al. FUTURE HISTORIANS : THEIR QUEST FOR INFORMATION , 1999 .
[39] Christian Wagner,et al. Stimulating ideas through creativity software , 1994 .
[40] Tao Sun,et al. Unexpected Relevance: An Empirical Study of Serendipity in Retweets , 2013, ICWSM.
[41] Mouzhi Ge,et al. Beyond accuracy: evaluating recommender systems by coverage and serendipity , 2010, RecSys '10.
[42] Eoin Whelan,et al. How twitter users can generate better ideas , 2015 .
[43] David S. Landes,et al. What room for accident in history?: explaining big changes by small events , 1994 .
[44] Daniele Quercia,et al. Auralist: introducing serendipity into music recommendation , 2012, WSDM '12.
[45] Susan T. Dumais,et al. From x-rays to silly putty via Uranus: serendipity and its role in web search , 2009, CHI.
[46] Meng Yang,et al. Social bookmarking and exploratory search , 2007, ECSCW.
[47] Terry Winograd,et al. SenseMaker: an information-exploration interface supporting the contextual evolution of a user's interests , 1997, CHI.
[48] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.
[49] Kerstin Denecke,et al. Chapter 6 Diversity-Aware Search: New Possibilities and Challenges for Web Search , 2012 .
[50] Sreenivas Gollapudi,et al. An axiomatic approach for result diversification , 2009, WWW '09.
[51] Adrian G Barnett,et al. Regression to the mean: what it is and how to deal with it. , 2004, International journal of epidemiology.
[52] K. Williamson. Discovered by chance: The role of incidental information acquisition in an ecological model of information use , 1998 .
[53] Mounia Lalmas,et al. Penguins in sweaters, or serendipitous entity search on user-generated content , 2013, CIKM.
[54] Harald Sack,et al. Towards exploratory video search using linked data , 2009, 2009 11th IEEE International Symposium on Multimedia.
[55] Susan T. Dumais,et al. Discovery is never by chance: designing for (un)serendipity , 2009, C&C '09.
[56] Kenneth A. Perrine,et al. Interactive visualization of multiple query results , 2001, IEEE Symposium on Information Visualization, 2001. INFOVIS 2001..
[57] Sia Siew Kien,et al. Managing Flexibility in Outsourcing , 2006, J. Assoc. Inf. Syst..
[58] Takayuki Akiyama,et al. Proposal and Evaluation of Serendipitous Recommendation Method Using General Unexpectedness , 2010, PRSAT@RecSys.
[59] Oren Etzioni,et al. Grouper: A Dynamic Clustering Interface to Web Search Results , 1999, Comput. Networks.
[60] S. Erdelez. Information encountering: a conceptual framework for accidental information discovery , 1997 .
[61] Tobias Höllerer,et al. TopicLens : An Interactive Recommender System based on Topical and Social Connections , 2012 .
[62] Russell Beale,et al. Visualising sequences of queries: a new tool for information retrieval , 1997, Proceedings. 1997 IEEE Conference on Information Visualization (Cat. No.97TB100165).
[63] Andruid Kerne,et al. An Experimental Method for Measuring the Emergence of New Ideas in Information Discovery , 2008, Int. J. Hum. Comput. Interact..
[64] Steven M. Smith,et al. Metrics for measuring ideation effectiveness , 2003 .
[65] Gregoris Mentzas,et al. Escape the bubble: guided exploration of music preferences for serendipity and novelty , 2013, RecSys.
[66] Nigel Ford,et al. Serendipity and information seeking: an empirical study , 2003, J. Documentation.
[67] R. Jung,et al. Neuroimaging creativity: A psychometric view , 2010, Behavioural Brain Research.
[68] Jacob Cohen,et al. Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .
[69] Pasquale Lops,et al. Introducing Serendipity in a Content-Based Recommender System , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.
[70] Michael S. Bernstein,et al. Eddi: interactive topic-based browsing of social status streams , 2010, UIST.
[71] Jade Goldstein-Stewart,et al. The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.
[72] Pablo Castells,et al. Personalized diversification of search results , 2012, SIGIR '12.
[73] Celine Latulipe,et al. Quantifying the Creativity Support of Digital Tools through the Creativity Support Index , 2014, ACM Trans. Comput. Hum. Interact..
[74] A. Dietrich,et al. A review of EEG, ERP, and neuroimaging studies of creativity and insight. , 2010, Psychological bulletin.
[75] Craig MacDonald,et al. Exploiting query reformulations for web search result diversification , 2010, WWW '10.
[76] Ryen W. White,et al. Exploratory Search: Beyond the Query-Response Paradigm , 2009, Exploratory Search: Beyond the Query-Response Paradigm.
[77] Takahira Yamaguchi,et al. Implementing an Image Search System with Integrating Social Tags and DBpedia , 2010, KES.
[78] Gary Marchionini,et al. Exploratory search , 2006, Commun. ACM.
[79] Alisa Acosta. Using Serendipity to Advance Knowledge Building Activities , 2012 .
[80] Kenneth A. Cory. Discovering Hidden Analogies in an Online Humanities Database , 1999, Libr. Trends.