讀論文

Real-time Personalization using Embeddings for search Ranking at Airbnb

part1 Introduction

part2 Related work

part3 Methodology

In the following we introduce the proposed methodology for the
task of listing recommendations and listing ranking in search at
Airbnb.
下面我們描述下airbnb在序列推薦任務和搜索序列排序中的方法
We describe two distinct approaches, i.e. listing embeddings
for short-term real-time personalization and user-type & listing
type embeddings for long term personalization, respectively.
我們用了兩種不同的方法，一個是對短期興趣做listing embedding，另一種是對長期興趣做 usertype&listing type 的embedding

Listing Embeddings

User-type & Listing-type Embeddings

part4 Experiments

Training Listing Embeddings

Offline Evaluation of Listing Embeddings

Similar Listings using Embeddings

Real time personalization in Search Ranking using Embeddings

part5 Conlcusion

總結

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