文章基本信息

标题：Travel Sequence Recommendation by Mining User Social Interest and Travelogs Data
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作者：Kishori P. Thakare ; Hiralal B. Salunkhe
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：5
页码：5966-5970
DOI：10.15680/IJIRCCE.2018.0605126
出版社：S&S Publications
摘要：While, searching on web user want to get more accurate recommendation according to his interest.The rapid growth of online travel information imposes an increasing challenge for tourists who have to choose from a large number of travel packages to satisfy their personalized requirements. our approach is not only personalized to user’s travel interest but also able to recommend a travel sequence rather than individual Points of Interest (POIs). Topical package space including representative tags, the distributions of cost, visiting time and visiting season of each topic, is mined to bridge the vocabulary gap between user travel preference and travel routes. We map both user’s and routes’ textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season).Here similar users collaborative filtering for recommendation can also apply .
关键词：Travel recommendation; Check;in; multimedia information retrieval; Online interest ;social media; Travelogues