Year |
Citation |
Score |
2019 |
Kim I, Pant G. Predicting web site audience demographics using content and design cues Information & Management. 56: 718-730. DOI: 10.1016/J.Im.2018.11.005 |
0.414 |
|
2015 |
Pant G, Sheng ORL. Web footprints of firms: Using online isomorphism for competitor identification Information Systems Research. 26: 188-209. DOI: 10.1287/Isre.2014.0563 |
0.337 |
|
2013 |
Pant G, Srinivasan P. Status locality on the web: Implications for building focused collections Information Systems Research. 24: 802-821. DOI: 10.1287/Isre.1120.0457 |
0.613 |
|
2012 |
Ma Z, Sheng ORL, Pant G, Iriberri A. Can visible cues in search results indicate vendors' reliability? Decision Support Systems. 52: 768-775. DOI: 10.1016/j.dss.2011.12.002 |
0.351 |
|
2011 |
Ma Z, Pant G, Sheng ORL. Mining competitor relationships from online news: A network-based approach Electronic Commerce Research and Applications. 10: 418-427. DOI: 10.1016/J.Elerap.2010.11.006 |
0.32 |
|
2010 |
Pant G, Srinivasan P. Predicting Web page status Information Systems Research. 21: 345-364. DOI: 10.1287/Isre.1080.0231 |
0.62 |
|
2010 |
Kim I, Pant G. Predicting audience demographics of web sites: Design vs. Content cues Proceedings of 20th Annual Workshop On Information Technologies and Systems. |
0.325 |
|
2008 |
Pant G, Srinivasan P. Utility-biased web crawler: Combining status and topicality 2008 Workshop On Information Technologies and Systems, Wits 2008. 109-114. |
0.49 |
|
2007 |
Ma Z, Pant G, Sheng ORL. Interest-based personalized search Acm Transactions On Information Systems. 25. DOI: 10.1145/1198296.1198301 |
0.473 |
|
2006 |
Pant G, Srinivasan P. Link contexts in classifier-guided topical crawlers Ieee Transactions On Knowledge and Data Engineering. 18: 107-122. DOI: 10.1109/Tkde.2006.12 |
0.619 |
|
2005 |
Pant G, Srinivasan P. Learning to crawl: Comparing classification schemes Acm Transactions On Information Systems. 23: 430-462. DOI: 10.1145/1095872.1095875 |
0.576 |
|
2005 |
Srinivasan P, Menczer F, Pant G. A general evaluation framework for topical crawlers Information Retrieval. 8: 417-447. DOI: 10.1007/S10791-005-6993-5 |
0.603 |
|
2004 |
Menczer F, Pant G, Srinivasan P. Topical web crawlers: Evaluating adaptive algorithms Acm Transactions On Internet Technology. 4: 378-419. DOI: 10.1145/1031114.1031117 |
0.603 |
|
2004 |
Pant G, Tsioutsiouliklis K, Johnson J, Giles CL. Panorama: Extending digital libraries with topical crawlers Proceedings of the Acm Ieee International Conference On Digital Libraries, Jcdl 2004. 142-150. |
0.376 |
|
2003 |
Pant G, Menczer F. Topical crawling for business intelligence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2769: 233-244. |
0.387 |
|
2002 |
Pant G, Menczer F. MySpiders: Evolve your own intelligent web crawlers Autonomous Agents and Multi-Agent Systems. 5: 221-229. DOI: 10.1023/A:1014853428272 |
0.489 |
|
2002 |
Pant G, Srinivasan P, Menczer F. Exploration versus exploitation in topic driven crawlers Ceur Workshop Proceedings. 702: 88-97. |
0.424 |
|
2001 |
Menczer F, Pant G, Srinivasan P, Ruiz ME. Evaluating topic-driven web crawlers Sigir Forum (Acm Special Interest Group On Information Retrieval). 241-249. |
0.606 |
|
Show low-probability matches. |