forked from wzhe06/Ad-papers
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
14 changed files
with
11 additions
and
3 deletions.
There are no files selected for viewing
Binary file removed
BIN
-122 KB
Embedding/Distributed Representations of Words and Phrases and their Compositionality.pdf
Binary file not shown.
Binary file removed
BIN
-988 KB
Embedding/Item2Vec- Neural Item Embedding for Collaborative Filtering.pdf
Binary file not shown.
Binary file added
BIN
+9.74 MB
...Real-time Personalization using Embeddings for Search Ranking at Airbnb (Airbnb 2018).pdf
Binary file not shown.
Binary file added
BIN
+2.83 MB
...ion-scale Commodity Embedding for E-commerce Recommendation in Alibaba (Alibaba 2018).pdf
Binary file not shown.
Binary file added
BIN
+802 KB
...ding/[Graph Embedding] DeepWalk- Online Learning of Social Representations (SBU 2014).pdf
Binary file not shown.
Binary file added
BIN
+989 KB
...Item2Vec] Item2Vec-Neural Item Embedding for Collaborative Filtering (Microsoft 2016).pdf
Binary file not shown.
Binary file added
BIN
+1.19 MB
Embedding/[LINE] LINE - Large-scale Information Network Embedding (MSRA 2015).pdf
Binary file not shown.
Binary file added
BIN
+102 KB
...[Negative Sampling] Word2vec Explained Negative-Sampling Word-Embedding Method (2014).pdf
Binary file not shown.
Binary file added
BIN
+781 KB
Embedding/[Node2vec] Node2vec - Scalable Feature Learning for Networks (Stanford 2016).pdf
Binary file not shown.
Binary file not shown.
Binary file added
BIN
+109 KB
...ributed Representations of Words and Phrases and their Compositionality (Google 2013).pdf
Binary file not shown.
File renamed without changes.
Binary file added
BIN
+798 KB
Embedding/[Word2Vec] Word2vec Parameter Learning Explained (UMich 2016).pdf
Binary file not shown.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters