Learn to Rank ICDM 2013 Challenge Ranking Hotel Search Queries
نویسندگان
چکیده
Learning to Rank (LeToR) is an important class of machine learning problems that focuses on finding an optimal sequence of documents as a function of some user query. In this project we consider hotel search and click-through data provided by the popular travel website Expedia.com, with the goal of developing a model that will provide a list of hotels ranked by highest likelihood of customer purchase. In this work, we propose to use the framework from the logistic regression binary classification algorithm to describe a straightforward linear model for ranking.
منابع مشابه
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, users aggregated purchase history and competitive online travel agency (OTA) information for each potential hotel choice. This paper describes the solution of team ”binghsu & MLRush & BrickMover”. We condu...
متن کاملمدل جدیدی برای جستجوی عبارت بر اساس کمینه جابهجایی وزندار
Finding high-quality web pages is one of the most important tasks of search engines. The relevance between the documents found and the query searched depends on the user observation and increases the complexity of ranking algorithms. The other issue is that users often explore just the first 10 to 20 results while millions of pages related to a query may exist. So search engines have to use sui...
متن کاملDesigning Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content1
User-Generated Content (UGC) on social media platforms and product search engines is changing the way consumers shop for goods online. However, current product search engines fail to effectively leverage information created across diverse social media platforms. Moreover, current ranking algorithms in these product search engines tend to induce consumers to focus on one single product character...
متن کاملLearning to Rank Questions for Community Question Answering with Ranking SVM
This paper presents our method to retrieve relevant queries given a new question in the context of Discovery Challenge: Learning to Re-Ranking Questions for Community Question Answering competition. In order to do that, a set of learning to rank methods was investigated to select an appropriate method. The selected method was optimized on training data by using a search strategy. After optimizi...
متن کاملApplying reinforcement learning for web pages ranking algorithms
Ranking web pages for presenting the most relevant web pages to user’s queries is one of the main issues in any search engine. In this paper, two new ranking algorithms are offered, using Reinforcement Learning (RL) concepts. RL is a powerful technique of modern artificial intelligence that tunes agent’s parameters, interactively. In the first step, with formulation of ranking as an RL problem,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013