Nearest to Far Cry 3: Ubersoldier II, BookWorm Deluxe, Bridge Constructor Medieval, Nimble Writer, Fieldrunners 2, Carpe Diem, Dark Void, Sacred Gold, Nearest to Counter-Strike Global Offensive: Majesty 2, Nancy Drew Danger on Deception Island, Amazing Adventures Around the World, X2 The Threat, Pirates, Vikings, & Knights II, Stargate Resistance, Heroes Over Europe, Duck Dynasty, Nearest to Mirror's Edge: Critter Crunch, Lost Planet Extreme Condition - Colonies Edition, Tom Clancy's Splinter Cell Chaos Theory, Operation Flashpoint Red River, Year Walk, Ys I, Petz Horsez 2, Third Eye Crime,
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2, Full Mojo Rampage, Freight Tycoon Inc., GRID Autosport, 100% Orange Juice, Gunscape, Deus Ex Game of the Year Edition, Nearest to Deus Ex Human Revolution: Duke Nukem Forever, Tom Clancy's H.A.W.X. Nearest to Company of Heroes: Gods Will Be Watching, Cloud Chamber, Oil Rush, Stealth Inc 2, Mordheim City of the Damned, FINAL FANTASY XIII-2, Amazing World, Perpetuum, There are 3600 unique games in the data set. npy file containing embeddings, dictionary, and reverse dictionary: train_skipgram.py - training using Skip-gram, using both purchase and play actions into account as user context.Įach script outputs an image with the game embeddings visualised using t-SNE, and a.train_cbow_weighted.py - same as above, but, only play actions are taken into consideration, and the label is selected based on time played (more time played the game - higher the probability of being selected).train_cbow.py - training using CBOW, using both purchase and play actions into account as user context.
Distributed Representations of Words and Phrases and their Compositionality.Skip-gram: (Rocket League -> (Dota 2, CS: GO)), (CS: GO -> (Dota 2, Rocket League)), (Dota 2 -> (CS: GO, Rocket League))įor more reference, please have a look at this papers:.CBOW: ((Dota 2, CS: GO) -> Rocket League), ((Dota 2, Rocket League) -> CS: GO), ((CS: GO, Rocket League) -> Dota 2).For example if a user has three games: Dota 2, CS: GO, and Rocket League, this (input -> label) pairs can be generated: TensorFlow implementation of word2vec applied on dataset, using both CBOW and Skip-gram.Ĭontext for each game is extracted from the other games that the user owns.
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