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Do adjective features from user reviews address sparsity and transparency in recommender systems?

https://doi.org/10.1016/j.elerap.2018.04.002
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-4571(199504)46:3<162::aid-asi2>3.0.co;2-6openalex-snapshot
Highlights: Language- and domain-independent automatic indexing terms for abstracting
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot
Content-based Recommender Systems: State of the Art and Trends
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_8openalex-snapshot
Evaluating Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-76928-6_35openalex-snapshot
Not All Words Are Created Equal: Extracting Semantic Orientation as a Function of Adjective Relevance
inferredcites →https://doi.org/10.1016/j.elerap.2016.09.003openalex-snapshot
Recommendation quality, transparency, and website quality for trust-building in recommendation agents
inferredcites →https://doi.org/10.1016/j.eswa.2013.10.056openalex-snapshot
A study of supervised term weighting scheme for sentiment analysis
inferredcites →https://doi.org/10.1016/j.ipm.2014.03.002openalex-snapshot
Personalized and object-centered tag recommendation methods for Web 2.0 applications
inferredcites →https://doi.org/10.1016/j.ipm.2015.03.001openalex-snapshot
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy
inferredcites →https://doi.org/10.1109/bigmm.2016.38openalex-snapshot
Schedule a Rich Sentimental Travel via Sentimental POI Mining and Recommendation
inferredcites →https://doi.org/10.1109/cec.2011.24openalex-snapshot
RF-Rec: Fast and Accurate Computation of Recommendations Based on Rating Frequencies
inferredcites →https://doi.org/10.1109/icdm.2014.14openalex-snapshot
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2016.2607172openalex-snapshot
Service Quality Evaluation by Exploring Social Users’ Contextual Information
inferredcites →https://doi.org/10.1109/tmm.2016.2575738openalex-snapshot
Rating Prediction Based on Social Sentiment From Textual Reviews
inferredcites →https://doi.org/10.1145/1454008.1454036openalex-snapshot
Integrating tags in a semantic content-based recommender
inferredcites →https://doi.org/10.1145/1456223.1456269openalex-snapshot
Web opinion mining
inferredcites →https://doi.org/10.1145/1835804.1835903openalex-snapshot
Latent aspect rating analysis on review text data
inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot
GroupLens
inferredcites →https://doi.org/10.1145/2009916.2010052openalex-snapshot
A unified framework for recommendations based on quaternary semantic analysis
inferredcites →https://doi.org/10.1145/2365952.2366006openalex-snapshot
Discovering latent factors from movies genres for enhanced recommendation
inferredcites →https://doi.org/10.1145/2378104.2378116openalex-snapshot
Mining millions of reviews
inferredcites →https://doi.org/10.1145/2414425.2414434openalex-snapshot
Generating virtual ratings from chinese reviews to augment online recommendations
inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
inferredcites →https://doi.org/10.1145/2600428.2610381openalex-snapshot
A tag-based personalized item recommendation system using tensor modeling and topic model approaches
inferredcites →https://doi.org/10.1145/2623330.2623758openalex-snapshot
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
inferredcites →https://doi.org/10.1145/3079628.3079696openalex-snapshot
Improving Cold Start Recommendation by Mapping Feature-Based Preferences to Item Comparisons
inferredcites →https://doi.org/10.1145/3109859.3109864openalex-snapshot
Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/963770.963773openalex-snapshot
Ontological user profiling in recommender systems
inferredcites →https://doi.org/10.1609/aaai.v29i1.9153openalex-snapshot
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
inferredcites →https://doi.org/10.1609/aaai.v31i1.10758openalex-snapshot
Low-Rank Linear Cold-Start Recommendation from Social Data
inferredcites →https://doi.org/10.25300/misq/2013/37.2.01openalex-snapshot
Positioning and Presenting Design Science Research for Maximum Impact1
inferredcites →https://doi.org/10.3115/1073445.1073478openalex-snapshot
Feature-rich part-of-speech tagging with a cyclic dependency network
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4676404openalex-extracted
Deep Representation Learning of User Preferences for Opinionclassification
inferred← citeshttps://doi.org/10.1007/s13278-020-0626-2openalex-snapshot
A systematic literature review of sparsity issues in recommender systems
inferred← citeshttps://doi.org/10.1016/j.dss.2019.01.001openalex-snapshot
A noise correction-based approach to support a recommender system in a highly sparse rating environment
inferred← citeshttps://doi.org/10.1016/j.elerap.2019.100879openalex-snapshot
Research commentary on recommendations with side information: A survey and research directions
inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200474openalex-snapshot
Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques
inferred← citeshttps://doi.org/10.1016/j.physa.2019.01.053openalex-snapshot
Enhanced recommender system using predictive network approach
inferred← citeshttps://doi.org/10.1109/isaect.2018.8618822openalex-snapshot
Collaborative Recommender Systems Based on User-Generated Reviews: A Concise Survey
inferred← citeshttps://doi.org/10.1115/1.4041475openalex-snapshot
Integrating Topic, Sentiment, and Syntax for Modeling Online Reviews: A Topic Model Approach
inferred← citeshttps://doi.org/10.1155/2022/7372849openalex-snapshot
A Hybrid Method to Solve Data Sparsity in Travel Recommendation Agents Using Fuzzy Logic Approach
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