Paper Details

With the popularity of social media (e.g., Facebook and Flicker), users can easily share their check-inrecords and photos during their trips. In view of the huge number of user historical mobility records in social media, weaim to discover travel experiences to facilitate trip planning. When planning a trip, users always have specificpreferences regarding their trips. Instead of restricting users to limited query options such as locations, activities, ortime periods, we consider arbitrary text descriptions as keywords about personalized requirements. Moreover, a diverseand representative set of recommended travel routes is needed. Prior works have elaborated on mining and rankingexisting routes from check-in data. To meet the need for automatic trip organization, we claim that more features ofPlaces of Interest (POIs) should be extracted. Therefore, in this paper, we propose an efficient Keyword-awareRepresentative Travel Route framework that uses knowledge extraction from users’ historical mobility records and socialinteractions. Explicitly, we have designed a keyword extraction module to classify the POI-related tags, for effectivematching with query keywords. We have further designed a route reconstruction algorithm to construct route candidatesthat fulfill the requirements. To provide befitting query results, we explore Representative Skyline concepts, that is, theSkyline routes which best describe the trade-offs among different POI features. To evaluate the effectiveness andefficiency of the proposed algorithms, we have conducted extensive experiments on real location-based social networkdatasets, and the experiment results show that our methods do indeed demonstrate good performance compared to stateof-the-art works

Anuja Bansode, Prajakta Ubale, Dheeraj Damare, Prof.Damini Deore, “Tour Guide: Smart Travel Suggestion And Recommendations”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1279-1283, November 2017.