Marketing Plan Summary Total = $6,600 / monthĪ full breakdown of your customized marketing plan. Up to 5 hours of professional photography / videography each quarter for each dispensary.Take professional photos of your dispensaries, events, etc. Includes TV ads, text blast ads, Weedmaps ads, apparel, & website graphics.Design up to 2 graphics per month for each dispensary, for free!.Backend optimization for faster website speedĬreate eye-catching designs to represent your brand.Weekly audits to make sure everything’s running properly.Keep your website healthy and up-to-date. Ranks your business higher than your competitors on search engines (Google, Bing, Yahoo, etc.).Helps your business rank higher on Google. Social Media Management $2,000Ĭreate an engaging feed + drive traffic to your page. Your One-Stop-Shop for Cannabis Marketing Made exclusively for Pure & Xplore, world-class quality & competitive pricing. Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learningĭiscrete Factorization Machines for Fast Feature-based RecommendationĮxploring User-Specific Information in Music RetrievalĮmbedding Factorization Models for Jointly Recommending Items and User Generated Lists.Pure Lapeer & Xplore Cannabis | Proposal | Mutarex Digital Multi-modal Preference Modeling for Product SearchĬross-modal Moment Localization in Videos Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs Neural Compatibility Modeling with Attentive Knowledge Distillation TEM: Tree-enhanced Embedding Model for Explainable RecommendationĪ Personal Privacy Preserving Framework: I Let You Know Who Can See WhatĬhat More: Deepening and Widening the Chatting Topic via A Deep Model Supervised Hierarchical Cross-Modal Hashing User Attention-guided Multimodal Dialog Systems Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching Quantifying and Alleviating the Language Prior Problem in Visual Question Answering Seeking Micro-influencers for Brand PromotionĪttentive Long Short-Term Preference Modeling for Personalized Product Searchįrom Question to Text: Question-Oriented Feature Attention for Answer Selection User Diverse Preference Modeling by Multimodal Attentive Metric Learning MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video Personalized Hashtag Recommendation for Micro-videos Routing Micro-videos via A Temporal Graph-guided Recommendation System Virtually Trying on New Clothing with Arbitrary Poses Personalized Capsule Wardrobe Creation with Garment and User Modeling Multimodal Dialog System: Generating Responses via Adaptive Decoders Large-Scale Question Tagging via Joint Question-Topic Embedding Learning Generative Attribute Manipulation Scheme for Flexible Fashion Searchįashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit FeedbackĬontext-Aware Multi-View Summarization Network for Image-Text Matching What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identificationįine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation LearningĪn End-to-End Attention-Based Neural Model for Complementary Clothing Matching Neural Multimodal Cooperative Learning Toward Micro-Video Understanding Neural Compatibility Modeling With Probabilistic Knowledge Distillation Multimodal Activation: Awakening Dialog Robots without Wake Words Multimodal Dialog System: Relational Graph-based Context-aware Question UnderstandingĬollocation and Try-on Network: Whether an Outfit is CompatibleĬomplementary Factorization towards Outfit Compatibility Modelingįocal and Composed Vision-semantic Modeling for Visual Question answeringĭynamic Modality Interaction Modeling for Image-Text RetrievalĬomprehensive Linguistic-Visual Composition Network for Image RetrievalĪdversarial-Enhanced Hybrid Graph Network for User Identity Linkage Video Moment Localization via Deep Cross-Modal HashingĬoarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization Question Tagging via Graph-guided Ranking User-controllable Recommendation Against Filter Bubblesĭynamic Graph Reasoning for Conversational Open-Domain Question Answering MMCoQA: Conversational Question Answering over Text, Tables, and Images Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View Nie has released the following codes and data since 2016: Year A paper without accessible codes and data is a pure paper Otherwise, it is beyond a paper, maybe a work of art.
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