TY - BOOK ID - 146280363 TI - Information Retrieval and Social Media Mining PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - History of engineering & technology KW - music recommender systems KW - social influence KW - social trust KW - homophily KW - collaborative filtering KW - streaming services KW - ego network KW - events KW - network dynamics KW - Twitter KW - hybrid recommender systems KW - feedback collection KW - digital libraries KW - information retrieval KW - real-world data KW - open-access KW - social capital KW - social media KW - operationalization KW - measurement KW - scoping review KW - graph convolutional neural network KW - recommender system KW - cross-sales KW - pharmacy KW - popularity bias KW - opinion mining KW - opinion summarization KW - topic modeling KW - semantic similarity measures KW - word embeddings KW - text mining KW - sentiment analysis KW - Web-based questionnaire KW - telemedicine KW - telemonitoring KW - telehomecare KW - recommender systems KW - utility KW - multi-criteria KW - penalty KW - over-expectation KW - under-expectation UR - https://www.unicat.be/uniCat?func=search&query=sysid:146280363 AB - This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network. ER -