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Uncovering Task Based Behavioral Heterogeneities in Online Search Behavior

Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Specifically, we analyze user-disposition, topic and user-interest level heterogeneities that are prevalent in search task behavior.  ...  In the current work, we quantify user search task behavior for both single-as well as multi-task search sessions and relate it to tasks and topics.  ...  Analyzing such heterogeneities in online search behavior lends us a better understanding of how users interact with search systems when performing different tasks.  ... 
doi:10.1145/2911451.2914755 dblp:conf/sigir/MehrotraBY16 fatcat:5ff232unszdipfkkk3q67bafxe

Mining Knowledge from Data: An Information Network Analysis Approach

Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
2012 2012 IEEE 28th International Conference on Data Engineering  
Departing from both, we view interconnected, semi-structured datasets as heterogeneous, information-rich networks and study how to uncover hidden knowledge in such networks.  ...  We show that heterogeneous information networks are informative, and link analysis on such networks is powerful at uncovering critical knowledge hidden in large semi-structured datasets.  ...  ACKNOWLEDGMENT The work was supported in part by the U.S. Army Research Laboratory under Cooperative Agreement No. W911NF-09-2-0053 (NS-CTA), U.S.  ... 
doi:10.1109/icde.2012.145 dblp:conf/icde/HanSYY12 fatcat:3yobocvu4venromba6dcshtw2e

Qualitative Experiments for Social Sciences [chapter]

Nadia Steils
2021 A Prática Na Investigação Qualitativa Experiências De Grupos De Investigação - La Práctica En Investigación Cualitativa Experiencias De Grupos De Investigación  
in the literature.  ...  Our findings contribute by presenting a methodological framework and technical recommendations based on three validity criteria (internal, external, and interpretivist validity).  ...  Moreover, this research insists on an open study approach regarding data collection and analysis to uncover processes and behaviors in an exploratory fashion.  ... 
doi:10.36367/ntqr.6.2021.24-31 fatcat:tor3ucvbx5bpdl2b7gb3wl7crm

Clickstream Data as a Source to Uncover con-Sumer Shopping Types in a Large-Scale Online Setting

Daniel Schellong, Jan Kemper, Malte Brettel
2016 European Conference on Information Systems  
We show that search patterns based on the online advertising channel choice discloses specific shopping types.  ...  Operationalizing search behavior as navigational or informational based on information retrieval research and the level of consumer involvement; we use k-means clustering to categorize search patterns  ...  Clickstream path data plays a more and more important role in helping marketers, practitioners as well as researchers, to uncover consumer behavior online in large-scale settings.  ... 
dblp:conf/ecis/SchellongKB16 fatcat:a5xx67zdrndfpkkppakuu22uhi

Do we Fully Understand the Critical Success Factors of Employee Portal utilitarianism? - Uncovering and Accounting for Unobserved Heterogeneity

Kunal Mohan, Nils Urbach
2012 European Conference on Information Systems  
to better understand heterogeneity.  ...  Our analysis indicates that the aggregate global model hides the existence of meaningful system user segments that are more homogenous in the productivity drivers.  ...  Therefore, in our study, we seek to uncover the unobserved heterogeneity in data.  ... 
dblp:conf/ecis/MohanU12 fatcat:o2imygcglnczvdc6xpboie7r6m

An End-to-end Model of Predicting Diverse Ranking On Heterogeneous Feeds

Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, Yuliang Yan
2018 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
In Alibaba, the largest Chinese online retailer, besides traditional item search engine (ISE), a content search engine (CSE) is utilized for feeds recommendation as well.  ...  As an external assistance for online shopping, multimedia content (feed) plays an important role in e-Commerce field.  ...  To solve heterogeneous type sorting task, two novel models are proposed based on different assumptions about user preference and slot denpdency.  ... 
dblp:conf/sigir/GaoGHJY18 fatcat:hspqwxsmmjdnpoi3x6fa4r4vxa

Mining heterogeneous information networks

Yizhou Sun, Jiawei Han
2013 SIGKDD Explorations  
Most objects and data in the real world are of multiple types, interconnected, forming complex, heterogeneous but often semi-structured information networks.  ...  and links in the networks, and develop a structural analysis approach on mining semi-structured, multi-typed heterogeneous information networks.  ...  Multiple mining tasks can be explored under this framework. R 1 −→ A2 R 2 −→ . . . R l −→ A l+1 , Meta-path-based similarity search in heterogeneous information networks.  ... 
doi:10.1145/2481244.2481248 fatcat:ovj4ra5qqjb6xjoox64ctdlfwm

Survey on Visual Analysis of Event Sequence Data [article]

Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao
2020 arXiv   pre-print
In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications.  ...  They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional, and heterogeneous.  ...  [71] , [86] , [104] , [110] are utilized to cluster individual entities (e.g., works, online users) based on behaviors.  ... 
arXiv:2006.14291v1 fatcat:zmlsmiabzbec5cbtoltk3yc3oe

Cross-Industrial User Channel Preferences on the Path to Online Purchase: Homogeneous, Heterogeneous, or Mixed?

Ingo F. Becker, Marc Linzmajer, Florian von Wangenheim
2017 Journal of Advertising  
Amazon E-commerce site No Estimation and prediction results showed that significant variation in task- completion behavior could be explained by what visitors do while browsing the site and by  ...  Internet car retailer Commercial website No Significant variation in task-completion behavior could be explained by what visitors do while browsing the site and by their exposure to page-specific  ... 
doi:10.1080/00913367.2017.1300076 fatcat:zsmzs2hqanaxvjqfxpb2zycjpm


Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
2017 Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17  
rule-based engines.  ...  in high-volume, real-world data streams.  ...  We have developed new, online, sampling-and gradient-based methods for automatically finding a suitable low dimensional basis for a given stream.  ... 
doi:10.1145/3035918.3056446 dblp:conf/sigmod/BailisGRS17 fatcat:agybb7bbabempk2atxjhekoszq

Undergraduate Students' Critical Online Reasoning—Process Mining Analysis

Susanne Schmidt, Olga Zlatkin-Troitschanskaia, Jochen Roeper, Verena Klose, Maruschka Weber, Ann-Kathrin Bültmann, Sebastian Brückner
2020 Frontiers in Psychology  
in their lower task scores.  ...  To successfully learn using open Internet resources, students must be able to critically search, evaluate and select online information, and verify sources.  ...  ACKNOWLEDGMENTS We would like to thank the editor and the reviewers who provided constructive feedback and helpful guidance in the revision of this manuscript.  ... 
doi:10.3389/fpsyg.2020.576273 pmid:33424686 pmcid:PMC7793971 fatcat:ropfoghuqbgmnpzhq6devdojbi

A Hybrid Model for Linking Multiple Social Identities Across Heterogeneous Online Social Networks [chapter]

Athanasios Kokkos, Theodoros Tzouramanis, Yannis Manolopoulos
2017 Lecture Notes in Computer Science  
Automated online profiling consists of the accurate identification and linking of multiple online identities across heterogeneous online social networks that correspond to the same entity in the physical  ...  It involves distance-based comparison methods and the exploitation of information produced by a social network identification process for use as external knowledge towards searches on other social networks  ...  The linking task is made difficult by the high degree of heterogeneity of the information available.  ... 
doi:10.1007/978-3-319-51963-0_33 fatcat:ykr74qwz5zfbvd6xlsaj4dmg6u

State of Shopping and the Value of Information: Insights from the Clickstream

Vandana Ramachandran, Siva Viswanathan, Hank Lucas
2010 International Conference on Information Systems  
The availability of clickstream data however helps us in identifying meaningful segments of sessions on the basis of customers' online behaviors.  ...  A critical challenge for online retailers is to determine what types of product and price information are best suited to influence online conversion.  ...  Building on this stream, Moe (2003) divided online customers into four categories based on customers' search behaviors (directed versus exploratory) and purchasing horizon (immediate versus future).  ... 
dblp:conf/icis/RamachandranVL10 fatcat:3jd5vi7c75a3tlhe3anynvvruq

Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction: spatial neglect and attention [article]

Daniel Wiesen, Christoph Sperber, Grigori Yourganov, Christopher Rorden, Hans-Otto Karnath
2019 bioRxiv   pre-print
In such case, univariate lesion behavior mapping methods might have been inherently limited in uncover the presumed network in a single study due to limited statistical power.  ...  The comparison revealed clear benefits of multivariate lesion behavior mapping in identifying brain networks.  ...  in a saccadic cancellation task.  ... 
doi:10.1101/556753 fatcat:ivjscix4rndn5f3f556xc67eq4

Parsing heterogeneity in autism spectrum disorder and attention-deficit/hyperactivity disorder with individual connectome mapping [article]

Dina R Dajani, Catherine A Burrows, Mary Beth Nebel, Stewart H Mostofsky, Kathleen M Gates, Lucina Q Uddin
2018 bioRxiv   pre-print
Traditional diagnostic systems for mental illnesses define diagnostic categories that are heterogeneous in behavior and underlying neurobiological alterations.  ...  Brain regions activated in response to a cognitive flexibility task in adults were used guide region-of-interest (ROI) selection to estimate individual connectivity profiles in this study.  ...  Unexpectedly, we were unable to uncover a reliable or valid categorical scheme based on connectomes important for cognitive flexibility in a heterogeneous group of children who ranged from above The results  ... 
doi:10.1101/490672 fatcat:4seabqdmvrgubadpnfmnw3wjoq
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