Natural Language Processing Applied in Itinerary Recommender Systems
نویسندگان
چکیده
In this paper we present a mobile application based on a hybrid multi-objective genetic algorithm and Natural Language Processing that can be used by tourists to smartly generate itineraries. Besides allowing users to find interesting Points of Interest based on highly detailed information, the semantic search approach is also capable of providing recommendation without requiring a lot of information regarding the current user. A multi-objective genetic algorithm has been used in order to find Pareto-optimal solutions in near real-time for the itinerary problem. The proposed system requires minimum input from the user and it is easy to use, thus we can state that our solution is both complex and at the same time user-oriented. Key-Words: semantic similarity, free text document indexing, multi-objective genetic algorithm, itinerary recommender system
منابع مشابه
A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis
Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...
متن کاملسیستم پیشنهاد دهنده زمینهآگاه برای انتخاب گوشی تلفن همراه با ترکیب روشهای تصمیمگیری جبرانی و غیرجبرانی
Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems. The context information like time, location and user behaviors can enhance the quality of recommendations and customer satisfication in such systems. In this paper a context aware recommender sys...
متن کاملPresenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملAugmenting Points of Interest Recommendations with Music
Recommender systems are personalized information search and decision support tools that can selectively retrieve from large information sources personalized set of items (e.g. news, CD descriptions, or services) that suit the particular preferences of a user. Recommender systems are normally limited in providing recommendations for just one type of information items. But, recently the notion of...
متن کاملTeaching Applied Natural Language Processing: Triumphs And Tribulations
In Fall 2004 I introduced a new course called Applied Natural Language Processing, in which students acquire an understanding of which text analysis techniques are currently feasible for practical applications. The class was intended for interdisciplinary students with a somewhat technical background. This paper describes the topics covered and the programming exercises, emphasizing which aspec...
متن کامل