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A framework to compute page importance based on user behaviors

, , , , and . Information Retrieval, 13 (1): 22--45 (Feb 1, 2010)
DOI: 10.1007/s10791-009-9098-8

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A framework to compute page importance based on user behaviors, , , , and . Information Retrieval, 13 (1): 22--45 (Feb 1, 2010)Event detection from evolution of click-through data., , , and . KDD, page 484-493. ACM, (2006)Listwise approach to learning to rank: theory and algorithm., , , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 1192-1199. ACM, (2008)Large Margin Deep Neural Networks: Theory and Algorithms., , , and . CoRR, (2015)Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data., , , , and . CoRR, (2019)Psychological advertising: exploring user psychology for click prediction in sponsored search., , , , and . KDD, page 563-571. ACM, (2013)Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding., , , , and . CoRR, (2015)Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning., , , , , and . IEEE Trans. Knowl. Data Eng., 17 (9): 1263-1273 (2005)LETOR: A benchmark collection for research on learning to rank for information retrieval., , , and . Inf. Retr., 13 (4): 346-374 (2010)DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning., , , , , and . Briefings Bioinform., (January 2023)