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View all- Bajaj AKrishna STiwari HVala V(2019)Learning Mobile App Embeddings Using Multi-task Neural NetworkNatural Language Processing and Information Systems10.1007/978-3-030-23281-8_3(29-40)Online publication date: 21-Jun-2019
An essential issue in document retrieval is ranking, and the documents are ranked by their expected relevance to a given query. Multiple labels are used to represent different level of relevance for documents to a given query, and the corresponding ...
E-Commerce (E-Com) search is an emerging important new application of information retrieval. Learning to Rank (LETOR) is a general effective strategy for optimizing search engines, and is thus also a key technology for E-Com search. While the use of ...
In this paper, we propose a novel learning to rank method using Ensemble Ranking SVM. Ensemble Ranking SVM is based on Ranking SVM which has been commonly used for learning to rank. The basic idea of Ranking SVM is to formulate the problem of learning ...
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