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cikm_2020_multivariate_autoultr

This is the repository for reproduce our CIKM 2020 paper, Analysis of Multivariate Scoring Functions for AutomaticUnbiased Learning to Rank

cirs-codes

This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"

cityrec-prototype

Travel recommender system prototype

class-incremental-learning

clcrec

Contrastive Learning for Cold-start Recommendation

clean-dialog

A framework for cleaning Chinese dialog data

click-fraud-detection

Click Fraud is a type of fraud that occurs on the Internet in pay-per-click (PPC) online advertising. It occurs by intentional clicking of online advertisements with no actual interest in the advertised product or service. Click Fraud is an important threat to advertisement world that affects the revenue and trust of the advertisers also. To tackle this issue, we use various machine learning and deep learning model that can learn from the data given to train the system. Model will identify the fraud clicks based upon the data provided to the system in training stage. We made a deep learning model to classify the fraud and non-fraud clicks and compared its result with various machine learning approaches like SVM, Naive Bayes and logistic Regression.

clickbait-detector

Detects clickbait headlines using deep learning.

clmr

clorisearch

广告检索引擎(针对在线广告设计，支持简单倒排检索、范围检索、LBS检索，持续完善中)

clothes-in-space

Personalization with deep learning in 100 lines of code

clue

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

cluster-analysis

cm-ips-sigir20

cmaes

Lightweight CMA Evolution Strategy implementation for Python.

cmin_moment_retrieval

Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos

cml

Spark Version for Collaborative Metric Learning for Ranking

cnn-with-xgboost

This repository is codeabout cnn with xgboost

co-teaching

coach

Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling (ACL-2020)

coat

EDSL for C++ to make just-in-time code generation easier

cobra

Code for COBRA: Contrastive Bi-Modal Representation Algorithm (https://arxiv.org/abs/2005.03687)

codes

Concept-Pointer-Network-for-Abstractive-Summarization

codes-for-wsdm-cup-music-rec-1st-place-solution

cofida

Fast in-memory pytorch dataloaders designed specifically for collaborative filtering data.

cognitiveinference

Common-Sense Inference，常识知识库、常识推理与常识推理评估的系统项目

colbert

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21)

collaborative-experts

Video embeddings for retrieval with natural language queries

collectivekd

[NAACL 2022] Collective Relevance Labeling for Passage Retrieval

common

Common files of Galois advertising engine｜Galois广告检索框架的公共文件。