research-article

A translation model for matching reviews to objects

Authors:

Andrew TomkinsAuthors Info & Claims

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Pages 167 - 176

https://doi.org/10.1145/1645953.1645977

Published: 02 November 2009 Publication History

Abstract

We develop a generic method for the review matching problem, which is to match unstructured text reviews to a list of objects, where each object has a set of attributes. To this end, we propose a translation model for generating reviews from a structured description of objects. We develop an EM-based method to estimate the model parameters and use this model to find, given a review, the object most likely to be the topic of the review. We conduct extensive experiments on two large-scale datasets: a collection of restaurant reviews from Yelp and a collection of movie reviews from IMDb. The experiments show that our translation model-based method is superior to traditional tf-idf based methods as well as a recent mixture model-based method for the review matching problem.

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Cited By

Mousset PPitarch YTamine L(2020)End-to-End Neural Matching for Semantic Location Prediction of TweetsACM Transactions on Information Systems10.1145/341514939:1(1-35)Online publication date: 5-Sep-2020
https://dl.acm.org/doi/10.1145/3415149
Mousset PPitarch YTamine L(2019)Towards Spatial Word EmbeddingsAdvances in Information Retrieval10.1007/978-3-030-15719-7_7(53-61)Online publication date: 7-Apr-2019
https://doi.org/10.1007/978-3-030-15719-7_7
Jin JLiu YJi PKwong C(2018)Review on Recent Advances in Information Mining From Big Consumer Opinion Data for Product DesignJournal of Computing and Information Science in Engineering10.1115/1.404108719:1Online publication date: 17-Sep-2018
https://doi.org/10.1115/1.4041087
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Index Terms

A translation model for matching reviews to objects
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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cover image ACM Conferences

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

November 2009

2162 pages

ISBN:9781605585123

DOI:10.1145/1645953

General Chairs:
David Cheung
University of Hong Kong, Hong Kong
,
Il-Yeol Song
Drexel University, USA
,
Program Chairs:
Wesley Chu
UCLA, USA
,
Xiaohua Hu
Drexel University, USA
,
Jimmy Lin
University of Maryland, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 November 2009

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November 2 - 6, 2009

Hong Kong, China

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Mousset PPitarch YTamine L(2020)End-to-End Neural Matching for Semantic Location Prediction of TweetsACM Transactions on Information Systems10.1145/341514939:1(1-35)Online publication date: 5-Sep-2020
https://dl.acm.org/doi/10.1145/3415149
Mousset PPitarch YTamine L(2019)Towards Spatial Word EmbeddingsAdvances in Information Retrieval10.1007/978-3-030-15719-7_7(53-61)Online publication date: 7-Apr-2019
https://doi.org/10.1007/978-3-030-15719-7_7
Jin JLiu YJi PKwong C(2018)Review on Recent Advances in Information Mining From Big Consumer Opinion Data for Product DesignJournal of Computing and Information Science in Engineering10.1115/1.404108719:1Online publication date: 17-Sep-2018
https://doi.org/10.1115/1.4041087
Ma KWu LTao LLi WXie Z(2018)Matching Descriptions to Spatial Entities Using a Siamese Hierarchical Attention NetworkIEEE Access10.1109/ACCESS.2018.28376666(28064-28072)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2837666
Vieira Hda Silva ACalado PCristo Mde Moura EMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)Towards the Effective Linking of Social Media Contents to Products in E-Commerce CatalogsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983747(1049-1058)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983747
Yongxin ZQingzhong LDequan WYanhui DCongli LZhongmin Y(2015)Matching Reviews to Object Based on 2-Stage CRFWeb Technologies and Applications10.1007/978-3-319-25255-1_8(92-103)Online publication date: 13-Nov-2015
https://doi.org/10.1007/978-3-319-25255-1_8
Zhu YLi QZhu Y(2013)Matching Reviews to Database Objects Based on Labeled Latent Dirichlet Allocation ModelProceedings of the 2013 10th Web Information System and Application Conference10.1109/WISA.2013.18(48-51)Online publication date: 10-Nov-2013
https://dl.acm.org/doi/10.1109/WISA.2013.18
Agrawal RFuxman AKannan AShafer JTalukdar PMille AGandon FMisselis JRabinovich MStaab S(2012)Associating structured records to text documentsProceedings of the 21st International Conference on World Wide Web10.1145/2187980.2188072(451-452)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187980.2188072
Dalvi NKumar RPang BAdar ETeevan JAgichtein EMaarek Y(2012)Object matching in tweets with spatial modelsProceedings of the fifth ACM international conference on Web search and data mining10.1145/2124295.2124303(43-52)Online publication date: 8-Feb-2012
https://dl.acm.org/doi/10.1145/2124295.2124303
Liu ZChen XSun MMerlo PBarzilay RJohnson M(2011)A simple word trigger method for social tag suggestionProceedings of the Conference on Empirical Methods in Natural Language Processing10.5555/2145432.2145601(1577-1588)Online publication date: 27-Jul-2011
https://dl.acm.org/doi/10.5555/2145432.2145601
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