[PDF] Top 20 Learning to Rank using Query-Level Rules
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Learning to Rank using Query-Level Rules
... In five, out of seven subsets, RE-QR was the best overall performer, demonstrating the effectiveness of exploiting query-sensitive information. RE-GR and RE-SR showed to be effective in most of the subsets, being ... See full document
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Scaling Learning to Rank to Big Data: Using MapReduce to parallelise Learning to Rank
... which learning to rank methods are most ...the learning to rank algorithms for which it holds that no other algorithm produced more accurate rankings with a higher degree of certainty of ... See full document
125
Entity attribute ranking using learning to rank
... a learning to rank algorithm to enhance the ranking ...and learning to ...Another learning to rank approach introduced by Atzori and Dessi [AD14, DA16] combines features from the ... See full document
6
An evolutionary strategy with machine learning for learning to rank in information retrieval
... top-10 query-document pairs retrieved, the following five metrics are used in a comparative analysis to fourteen state- of-the-art LTR methods from the literature: Mean Average Precision (MAP), Root Mean Square ... See full document
19
Learning to Rank Relevant Files for Bug Reports Using Domain knowledge, Replication and Extension of a Learning-to-Rank Approach
... A similar methodology explained in [12] was applied for text pre-processing. In order for the bug reports and source code files to be converted into vectors of term weights, first they need to be preprocessed and ... See full document
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Is Learning to Rank Worth it? A Statistical Analysis of Learning to Rank Methods in the LETOR Benchmarks
... which Learning to Rank built its foundations, which is that the use of sophisticated L2R algorithms and models produce significant gains over more traditional and simple information retrieval ...rankers, ... See full document
10
ES Rank: evolution strategy learning to rank approach
... the learning to Rank (LTR) ...of query-document pairs or feature vectors and the output is a linear ranking ...determined using equation 1 where Gaussian(0,1): is a random Gaussian number with ... See full document
7
Learning to Rank for Plausible Plausibility
... We argue that COPA-style tasks should intu- itively be approached as learning to rank prob- lems (Burges et al., 2005; Cao et al., 2007), where an encoder on competing items is trained to as- sign ... See full document
6
Learning to Re rank for Interactive Problem Resolution and Query Refinement
... vectors using the term frequency-inverse document frequency (tf- idf) representation forming the query ...the query and the inverse document frequency for a word is defined as the frequency of ... See full document
10
Answering questions by learning to rank Learning to rank by answering questions
... An important problem of QA systems is the IR approach for extracting relevant documents. Using a token-based retrieval (Lucene, ElasticSearch) and keeping the most relevant document as dictated by a lexical score ... See full document
10
Learning Image Re-Rank: Query-Dependent Image Re-Ranking Using Semantic Signature
... of using high-level semantic concepts which is also called attributes, and to represent human actions from videos and argue that attributes enable the construction of more descriptive models for human ... See full document
8
Distractor Generation for Multiple Choice Questions Using Learning to Rank
... apply learning-based ranking models to select distractors that resemble those in actual exam ...tion. Learning to generate distractors has been pre- viously explored in a few ...various learning ... See full document
7
A Study on Job Satisfaction of Vivekanandha Higher Secondary School Teachers at Thirupparaithurai, Tiruchirappalli District, Tamilnadu, INDIA
... a learning based Query similarity using rank merge list of document approach for search engine selection algorithms to identify the most useful search engines that are likely to contain the ... See full document
7
Improving Query Performance using Materialized XML Views: A Learning-based approach
... [25] motivates the concept of a data warehouse architecture and proposes technical issues when using the architecture. The data warehouse architecture is related to our work because it uses an eager or the ... See full document
45
Query Recommendation employing Query Logs in Search Optimization
... a query presented to a search engine, proposes a list of concerned ...a query clustering procedure in which groups of semantically like queries are ...the query log of the search ...the query ... See full document
5
Learning Constraint Grammar style disambiguation rules using Inductive Logic Programming
... Learning Constraint Grammar style disambiguation rules using Inductive Logic Programming Learning Constraint Grammar style disambiguation rules using Inductive Logic Programming Nikolaj L i n d b e r[.] ... See full document
5
DBCrypto: A Database Encryption System using Query Level Approach
... security using filter guards using Secret Key to avoid Trojan Horse ...by using various approaches such as RND, DET, HOM, OPE and [5] is giving actual implementation of the concept proposed by [4] ... See full document
6
Learning Semantic Level Information Extraction Rules by Type Oriented ILP
... coling2000 camera ready dvi Learning Semantic Level Information Extraction Rules by Type Oriented ILP Yutaka Sasaki and Yoshihiro Matsuo NTT Communication Science Laboratories 2 4 Hikaridai, Seika cho[.] ... See full document
7
Multi level relational mapping algorithm based dependency rule generation for query optimization
... of query optimization has been approached in several methods but suffers with the problem of ...multi level relational mapping algorithm in this ...of query. Based on the above the method generates ... See full document
8
Implementation Image Retrieval And Classification With Surf Technique
... methods: using object ontology to define high level concept, using machine learning methods to associate low level features with query concepts, using relevance feedback ... See full document
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