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Interactive Recommendation about Location and Activity Using Integrated Random Walk

Interactive Recommendation about Location and Activity Using Integrated Random Walk. Group Members R98922004 Yun- Nung Chen R98922009 Che -An Lu R99922107 Ring Li R99922109 Jerry Cheng. Goal of Project. For a query about location Recommend locations/activities

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Interactive Recommendation about Location and Activity Using Integrated Random Walk

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  1. Interactive Recommendation about Location and Activity Using Integrated Random Walk Group Members R98922004 Yun-Nung Chen R98922009 Che-An Lu R99922107 Ring Li R99922109 Jerry Cheng

  2. Goal of Project • For a query about location • Recommend locations/activities • Show the results in the interactive system

  3. Dataset • Text documents about traveling • Crow from PTT-travel

  4. Our Idea • Construct a graph • node: location/activity • edge: relation between two nodes • Compute relevance score • Similar to PageRank

  5. Flow Chart Archive of documents from PTT-travel Similarity Computation user Interactive Recommendation System Location/Activity Extraction Query-related score Computation query

  6. Key Term Extraction • Word Segmentation • PoS Tagging • VERB + NOUN  activity • NOUN + web filter  location

  7. Flow Chart Archive of documents from PTT-travel Similarity Computation user Interactive Recommendation System Location/Activity Extraction Query-related score Computation query

  8. Similarity Computation • TFIDF Weight The similarity between two nodes (location/activity)

  9. Flow Chart Archive of documents from PTT-travel Similarity Computation user Interactive Recommendation System Location/Activity Extraction Query-related score Computation query

  10. Proposed Approach • Integrated Random Walk The query-related score

  11. Proposed Approach • Integrated Random Walk The propagation about similarity of node with the same type The propagation about similarity of node with different types

  12. Proposed Approach • Integrated Random Walk Similar to PageRank Final scores can represent relativeness to query and popularity

  13. Query Expansion • For unseen query about location • Top 10 snippets  TFIDF vector • View the most similar one as the query

  14. Experiments • Set the initial query-related scores • 0.35 for query • 0.15 for location • 0.5 for activity • Set the ratio for random walk • alpha, beta = 0.85 / 2 See the Demo!!!

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