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Context-aware review helpfulness rating prediction

Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
Helpful reviews are usually buried in a large number of unhelpful reviews, and with the consistently increasing number of reviews, it becomes more and more difficult for online users to find helpful reviews  ...  Also the helpfulness of a review is not necessarily equally useful for all users and users with different background may treat the helpfulness of a review very differently.  ...  Acknowledgments We thank the useful comments from Atish Das Sarma and anonymous reviewers. This work is, in part, supported by ARO (#025071) and NSF (#IIS-1217466).  ... 
doi:10.1145/2507157.2507183 dblp:conf/recsys/TangGHL13 fatcat:4p5b4kosdfbw3lfwwgyqrhvrwm

A Review-aware Graph Contrastive Learning Framework for Recommendation [article]

Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
2022 arXiv   pre-print
or better modeled user-item interactions with the help of available user-item target reviews.  ...  Specifically, we first construct a review-aware user-item graph with feature-enhanced edges from reviews, where each edge feature is composed of both the user-item rating and the corresponding review semantics  ...  Review-aware User and Item Embedding Learning.  ... 
arXiv:2204.12063v1 fatcat:ig7v6t76izckncow7eadjh7nsi

Service-Aware Personalized Item Recommendation

Noemi Mauro, Zhongli Filippo Hu, Liliana Ardissono
2022 IEEE Access  
Moreover, the combination of data about item fruition experience and item properties achieves slightly lower recommendation performance; however, it enhances users' perceptions of the awareness and of  ...  Current recommender systems employ item-centric properties to estimate ratings and present the results to the user.  ...  ACKNOWLEDGMENTS We thank Michele Colombino and Gianmarco Izzi for having helped us with the development of the user interfaces of the recommended systems.  ... 
doi:10.1109/access.2022.3157442 fatcat:5ktxkgguhjat7nkcrodhwxr2ie

Food recommender systems for diabetic patients: a narrative review

Somaye Norouzi, Mohsen Nematy, Hedieh Zabolinezhad, Samane Sistani, Kobra Etminani
2017 Reviews in Clinical Medicine  
Also wellness recommender systems are a subfield of food recommender systems, which help users to find and adapt suitable personalized wellness treatments based on their individual needs.  ...  World Health Organization (WHO) estimates that the number of people with diabetes will grow 114% by 2030.  ...  A CFRS is the simplest and original technique of recommender systems, and suggests items to the active user that other users with similar preferences liked in the past (6) .  ... 
doi:10.22038/rcm.2017.10814.1134 doaj:c1d96df411f44c4ead84467e7fb25def fatcat:pkney7xxzzbvfmcu5fo47dildy

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis

Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
The frequently changing user preferences and/or item profiles have put essential importance on the dynamic modeling of users and items in personalized recommender systems.  ...  predictions, and we leverage the conditional opportunity models for daily-aware personalized recommendation.  ...  Acknowledgement This work was supported by National Key Basic Research Program (2015CB358700) and Natural Science Foundation (61472206, 61073071) of China, and Yi is sponsored by the National Science Foundation  ... 
doi:10.1145/2736277.2741087 dblp:conf/www/Zhang0ZLLZM15 fatcat:3n7gpph4drhvlnjb24fkrh4cqe

Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation [article]

Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu
2022 arXiv   pre-print
To this end, we first construct a new dataset AmazonKG4CDR from the Freebase KG and a subset (two domain pairs: movies-music, movie-book) of Amazon Review Data.  ...  Then, we maximize the mutual information between item embeddings learned from the KG and user-item matrix to establish cross-domain relationships for better CDR.  ...  vectors of users, items from domain S and domain T respectively.  ... 
arXiv:2206.13255v1 fatcat:vsz7mlb3x5byxow7dxnxpv2cti

Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations

Jianmo Ni, Julian McAuley
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)  
We incorporate aspect-level information via an aspect encoder that learns 'aspect-aware' user and item representations.  ...  In this paper, we focus on the problem of building assistive systems that can help users to write reviews.  ...  The aspect-aware representation is helpful to discover what each user is likely to discuss about each item.  ... 
doi:10.18653/v1/p18-2112 dblp:conf/acl/NiM18 fatcat:3qdol2kuprhs5auijaplrpe63e

Establishing and Measuring Standard Spreadsheet Practices for End-Users

Garry Cleere
2008 arXiv   pre-print
The paper considers how establishing standard practices in spreadsheet training and certification can help reduce some of the risks associated with spreadsheets, and help promote productivity.  ...  This paper offers a brief review of cognitive verbs typically used in the literature to describe standard spreadsheet practices.  ...  A training and certification programme for managers and end-users, along with a whole series of internal awareness raising measures, as well some internal controls and policies may go some way to help  ... 
arXiv:0807.2993v1 fatcat:yxnsbhgajfdjxom56wpy6hssve

Improving Explainable Recommendations by Deep Review-Based Explanations

Sixun Ouyang, Aonghus Lawlor
2021 IEEE Access  
criteria of text-aware recommender systems.To make fair comparisons, we train review-aware recommender systems by human written reviews and attain advanced recommendations by feeding generated reviews  ...  We leverage our methods' performance by comparing with non-review based recommender systems and advanced review-aware recommender systems.  ...  6: Distribution of helpfulness ratio of humanwritten reviews and helpfulness ratio of machine-generated reviews. helpful.  ... 
doi:10.1109/access.2021.3076146 fatcat:6eedwpdhjbfsvp52alb6zlsdoy

A Service-oriented Perspective on the Summarization of Recommendations: Preliminary Experiment

Noemi Mauro, Zhongli Filippo Filippo Hu, Liliana Ardissono, Gianmarco Izzi
2021 Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization  
A preliminary user study, based on the Apartment Monitoring application, has provided encouraging results about the usefulness and efficacy of our model to enhance user awareness and decisionmaking in  ...  Thanks to a graphical representation of these dimensions (based on bar graphs), and on the provision of on-demand data about the associated aspects of items, our model enables the user to overview the  ...  ACKNOWLEDGMENTS This work has been funded by the University of Torino under grant ARDL_RILO_2019.  ... 
doi:10.1145/3450614.3464475 fatcat:kxd7h2oeanghrh4eyjchiliut4

ANALYSIS OF RATING PREDICTION SYSTEM FROM TEXTUAL REVIEWS

M Sreenu
2017 International Journal of Advanced Research in Computer Science  
Right off the bat, it proposes a social client nostalgic estimation approach and computes every client's supposition on things.  ...  It leads an execution assessment of the three wistful components on a genuine informational index.  ...  ARSA -Auto backward Sentiment-Aware Model for deals expectation. ARSQA -Auto backward Sentiment and Quality Aware Model to use both estimation and quality for anticipating item deals execution.  ... 
doi:10.26483/ijarcs.v8i9.4924 fatcat:um5oahbjyfdlvo37crz4qyjnya

Tobacco Menace and Challenges in Quitting Tobacco in an Indigenous Population of Tamil Nadu: A Cross-sectional Survey

D Prabu, S Nirmala, Nesa Aurlene
2019 Journal of Clinical and Diagnostic Research  
The fourth part of the questionnaire consisted of three items to assess the awareness on the availability of professional help to aid in quitting tobacco, awareness on cessation aids and awareness on tobacco  ...  The fourth part of the questionnaire consisted of three items to assess the awareness on the availability of professional help to aid in quitting tobacco, awareness on cessation aids and awareness on tobacco  ...  ----------------------- Question 12 Are you aware that professional help can be sought to assist a person to quit tobacco use?  ... 
doi:10.7860/jcdr/2019/41326.12808 fatcat:f72orglhnbejjip7bkb2x2urj4

Personalized Recommendation of Item Category Using Ranking on Time-Aware Graphs

Chen CHEN, Chunyan HOU, Peng NIE, Xiaojie YUAN
2015 IEICE transactions on information and systems  
We propose a construction method of time-aware graphs to use ranking algorithm for personalized recommendation of item category.  ...  Recently, there is huge amount of emerging items which are divided into a variety of categories and researchers have argued or suggested that top-K recommendation of item category could be very beneficial  ...  By recommending categories, the system has the potential to allow users to choose items gradually, help users make better and faster decisions and improve user experiences.  ... 
doi:10.1587/transinf.2014edp7334 fatcat:ms3kldv6vjflfpvh5gb6i5mfpq

Geographical Location based Service Recommendation

Dr. Siddhartha Choubey
2018 International Journal for Research in Applied Science and Engineering Technology  
Proposed method has various phases such as, feature extraction, feature vectorization and finding cosine similarities for each of the users to best match their tastes.  ...  In this paper, we propose a recommendation system which can able to find out best food for users based on the location of that person.  ...  With the above Inspirations, the Objectives of This Paper Are 1) To mine the relevance between user's ratings and user item geographical location distances, called as user-item geographical connection.  ... 
doi:10.22214/ijraset.2018.6053 fatcat:dygyje4ddva6tesqqc7qk5jtia

Context-Aware Co-attention Neural Network for Service Recommendations

Lei Li, Ruihai Dong, Li Chen
2019 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)  
of users, items, and contexts.  ...  matching between users' contextual preferences and items' context-aware aspects via coattention mechanism.  ...  from user reviews for constructing embeddings of users and items.  ... 
doi:10.1109/icdew.2019.00-11 dblp:conf/icde/LiDC19 fatcat:6iuq5zni7bc6pltewmcdp6aab4
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