PATENT CLAIM ANALYSIS

Application Number: 15900912
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["725", "014000"]

Abstract:
Electronic multimedia content is recommended based on personal preferences. Consumption information may be collected to generate recommended multimedia content. Electronic storefronts may also be selected based on the consumption information. Different portals and access points may be used based on IPTV assets, mobile assets, and mobile assets.

Claim (Index 8):
A system, comprising:\n a processor; a memory storing instructions that when executed cause the processor to perform operations, the operations comprising: receiving a request for electronic media associated with a client device; sending descriptions of purchasable electronic assets to the client device in response to the request for electronic media; receiving an electronic request associated with the client device, the electronic request requesting a purchase of an electronic asset of the purchasable electronic assets; determining an asset type of the electronic asset requested for the purchase; and selecting a network interface to a network, the server having different network interfaces for different asset types, and the selecting of the network interface based on the asset type of the electronic asset requested for the purchase.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.65625
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12559300', '12415771', '12559289', '15627637', '12617464']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5052038541274713
- 35 USC 102 Novelty (BERT): 0.5293219629036621
- Combined Prediction Score: 0.5076156650050904
- Mean Citation Score: 326.019588
- Max Citation Score: 364.49246
- Similarity Product: 269.540974230299

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test