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Improved Approximation Algorithms for the Spanning Star Forest Problem., , , , , and . APPROX-RANDOM, volume 4627 of Lecture Notes in Computer Science, page 44-58. Springer, (2007)Blurb Mining: Discovering Interesting Excerpts from E-commerce Product Reviews., , and . WWW (Companion Volume), page 1669-1675. ACM, (2018)Improved Approximation Guarantees through Higher Levels of SDP Hierarchies., and . APPROX-RANDOM, volume 5171 of Lecture Notes in Computer Science, page 49-62. Springer, (2008)Query suggestion for E-commerce sites., , , and . WSDM, page 765-774. ACM, (2011)Rewriting null e-commerce queries to recommend products., , and . WWW (Companion Volume), page 73-82. ACM, (2012)Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks., , and . CoRR, (2018)A Framework to Discover Significant Product Aspects from e-Commerce Product Reviews., and . eCOM@SIGIR, volume 2319 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)User behavior in zero-recall ecommerce queries., , and . SIGIR, page 75-84. ACM, (2011)Improved Approximation Algorithms for the Spanning Star Forest Problem., , , , , and . Algorithmica, 65 (3): 498-516 (2013)Communicating Machine Learned Choices to E-Commerce Users., , , , and . AAAI Spring Symposia, AAAI Press, (2017)