{"doi":"10.1016/j.procs.2017.10.084","title":"“TripBuddy” Travel Planner with Recommendation based on User‘s Browsing Behaviour","abstract":null,"journal":"Procedia Computer Science","year":2017,"id":683840,"datarank":0.41588830833596724,"base_score":2.772588722239781,"endowment":2.772588722239781,"self_citation_contribution":0.41588830833596724,"citation_network_contribution":0.0,"self_endowment_contribution":0.41588830833596724,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":15,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1786446,"name":"Jufery","orcid":null,"position":1,"is_corresponding":false},{"id":1786448,"name":"Frenky","orcid":null,"position":2,"is_corresponding":false},{"id":1786450,"name":"Rini Wongso","orcid":null,"position":3,"is_corresponding":false},{"id":1786452,"name":"Ferdinand Ariandy Luwinda","orcid":null,"position":4,"is_corresponding":false},{"id":1786444,"name":"Merlinda Sumardi","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"“TripBuddy” Travel Planner with Recommendation based on User‘s Browsing Behaviour","abstract":"Tourism has been an irreplaceable part of economy growth of every country. By that factor, the authors were encouraged to build an application to serve detail information of tour destinations to provide easy preparation for travelling. The application, TripBuddy, was developed to learn user’s behavior based on empiric data, which used to offer relevant destinations to certain user by using K-Means Clustering. TripBuddy is a web-based application which suggests optimal route with detail information of destinations, schedule, cost and duration to ease user’s travel plan and it also gives recommendation based on user’s browsing behavior","is_dataset_classified":null,"base_score":2.772588722239781,"endowment":2.772588722239781,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"26207759","pmcid":null,"openalex_id":"https://openalex.org/W2762832356","authors":[],"funders":[],"total_grants":0,"fwci":1.0484,"citation_percentile":0.79652012,"influential_citations":0,"citation_trend":[{"year":2019,"count":3},{"year":2020,"count":3},{"year":2021,"count":2},{"year":2022,"count":2},{"year":2023,"count":3},{"year":2024,"count":1},{"year":2025,"count":1}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"https://www.sciencedirect.com/science/article/pii/S1877050917321348/pdf","host_type":"journal"},{"url":"https://www.sciencedirect.com/science/article/pii/S1877050917321348/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1877050917321348?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1877050917321348?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.procs.2017.10.084","host_type":"journal"}],"fields_of_study":["Data Management and Algorithms","Digital Marketing and Social Media"],"mesh_terms":[],"keywords":["Computer science","Planner","Schedule","Destinations","Tourism","Cluster analysis","Recommender system","Plan (archaeology)","Duration (music)","World Wide Web","Factor (programming language)","Artificial intelligence"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Decent work and economic growth"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-18T12:21:05.948858Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}